1769 Data Architecture Jobs - Page 2

The Lead, Customer Data Insights & Analytics role based in Bangalore involves transforming the approach towards understanding and acting upon customer feedback. This strategic position requires a combination of operational expertise, data storytelling, and cross-functional leadership to enhance the overall customer journey. Your primary focus will be on driving data-driven decisions, optimizing customer-facing processes, and enhancing customer experiences throughout the organization. In this role, you will be responsible for various key areas: Customer Insights & Analytics: Establish a centralized insights engine to interpret various data sources such as NPS, CSAT, digital behavior, support interactions, and operational data. Collaborate with different teams to implement predictive models for identifying churn risk, advocacy, and engagement patterns. Develop and maintain CX dashboards and reporting tools to highlight trends, pain points, and improvement opportunities. Process & Experience Optimization: Identify and address pain points in the customer journey by leveraging automation, AI, and workflow enhancements. Lead initiatives aimed at optimizing tools, systems, and processes used by various teams including Support, Success, Academy, and Product. Document scalable workflows, survey schedules, and insight-to-action processes. CX Technology & Innovation: Evaluate and implement new technologies such as AI, automation platforms, and feedback tools to enhance customer listening and response mechanisms. Work closely with engineering and IT teams to enhance data architecture and feedback flow integration using platforms like Salesforce, Gainsight, and Qualtrics. Strategic Enablement: Provide insight-driven recommendations to senior leadership and stakeholders to influence product, GTM, and service strategies. Develop quarterly CX business reviews and customer narratives supported by data. Promote a culture of operational excellence and continuous improvement within the CX domain. The ideal candidate for this role should possess: - 5+ years of experience in customer experience, business operations, or data strategy roles, preferably within a B2B SaaS or tech environment. - Demonstrated ability to translate data into strategic insights, particularly in areas like NPS, CSAT, churn, and engagement metrics. - Proficiency in Salesforce, BI tools (Power BI, Tableau, Domo, Looker), and customer feedback platforms such as Qualtrics and Medallia. - Familiarity with AI and automation concepts in CX, including sentiment analysis, predictive scoring, and journey analytics. - Strong project management skills and the ability to collaborate effectively across functions. - A Bachelor's degree in Business, Analytics, Engineering, or related field (MBA preferred). - Excellent communication and stakeholder engagement skills within a global matrixed environment.,

Adient is a leading global automotive seating supplier, supporting all major automakers in the differentiation of their vehicles through superior quality, technology, and performance. We are seeking a Sr. Data Analytics Lead to help build Adients data and analytics foundation, directly benefitting our internal business units, and our Consumers. You are self-motivated and data-curious, especially about how data can be used to optimize business opportunities. In this role you will own projects end-to-end, from conception to operationalization, demonstrating your comprehensive understanding of the full data product development lifecycle. You will employ various analytical techniques to solve complex problems, drive scalable cloud data architectures, and deliver data products to enhance decision making across the organization. In this role, you will also own the technical support for released applications being used by internal Adient teams. This includes the daily triage of problem tickets and change requests. You will have 2-3 developer direct reports to accommodate this support as well as new development. The successful candidate can lead medium to large scale analytics projects requiring minimal direction, is highly proficient in SQL and cloud-based technologies, has good communication skills, takes the initiative to explore and tackle problems, and is an effective people leader. The ideal candidate will be working within Adients Advanced Analytics team. You will be a part of an empowered, highly capable team collaborating with Business Relationship Managers, Product Owners, Data Engineers, Production Support, and Visualization Developers within multiple business units to understand the data analytics needs and translate those requirements into world-class solution architectures. You will lead and mentor a team of solution architects to research, analyze, implement, and support scalable data product solutions that power Adients analytics across the enterprise, and deliver on business priorities. Own technical support for released internal analytics applications. This includes the daily triage of problem tickets and change requests. Lead development and execution of reporting and analytics products to enable data-driven business decisions that will drive performance and lead to the accomplishment of annual goals. You will be leading, hiring, developing, and evolving the Analytics team and providing them technical direction with the support of other leads and architects. Understand the road ahead and ensure the team has the skills and tools necessary to succeed. Drive the team to develop operationally efficient analytic solutions. Manage resources/budget and partner with functional and business teams. Advocate sound software development practices and help develop and evangelize great engineering and organizational practices. You will be leading the team that designs and builds highly scalable data pipelines using new generation tools and technologies like Azure, Snowflake, Spark, Databricks, SQL, Python to induct data from various systems. Work with product owners to ensure priorities are understood and direct the team to support the vision of the larger Analytics organization. Translate complex business problem statements into analysis requirements and work with internal customers to define data product details based on expressed partner needs. Work closely with business and technical teams to deliver enterprise-grade datasets that are reliable, flexible, scalable, and provide low cost of ownership. Develop SQL queries and data visualizations to fulfill internal customer application reporting requirements, as well as ad-hoc analysis requests using tools such as PowerBI. Thoroughly document business requirements, data architecture solutions, and processes for business and technical audiences. Serve as a domain specialist on data and business processes within your area of focus and find solutions to operational or data issues in the data pipelines. Grow the technical ability of the team. QUALIFICATIONS - Bachelors Degree or Equivalent with 8+ years of experience in data engineering, computer science, or statistics field with at least 2+ years of experience in leadership/management. - Experience in developing Big Data cloud-based applications using the following technologies: SQL, Azure, Snowflake, PowerBI. - Experience building complex ADF data pipelines and Data Flows to ingest data from on-prem sources, transform, and sink into Snowflake. Good understanding of ADF pipelining Activities. - Familiar with various Azure connectors to establish on-prem data-source connectivity, as well as Snowflake data-warehouse connectivity over private network. - Lead/Work with hybrid teams, communicate effectively, both written and verbal, with technical and non-technical multi-functional teams. - Translate complex business requirements into scalable technical solutions meeting data warehousing design standards. Solid understanding of analytics needs and proactive-ness to build generic solutions to improve efficiency. - Experience with data visualization and dashboarding techniques to make complex data more accessible, understandable, and usable to drive business decisions and outcomes. Efficient in PowerBI. - Extensive experience in data architecture, defining and maintaining data assets, and developing data architecture strategies to support reporting and data visualization tools. - Understands common analytical data models like Kimball. Ensures physical data models align with best practice and requirements. - Thrives in a dynamic environment, keeping composure and a positive attitude. - A plus if your experience was in distribution or manufacturing organizations. PREFERRED - Experience with Snowflake cloud data warehouse. - Experience with Azure PaaS services. - Experience with TSQL, SQL Server, Azure SQL, Snowflake SQL, Oracle SQL. - Experience with Azure Storage account connectivity. - Experience developing visualizations with PowerBI and BusinessObjects. - Experience with Databricks. - Experience with ADLS Gen2. - Experience with Azure VNet private endpoints on a private network. - Proficient with Spark and Python. - Advanced proficiency in SQL, joining multiple data sets across different data grains, query optimization, pivoting data. - MS Azure Certifications. - Snowflake Certifications. - Experience with other leading commercial Cloud platforms like AWS. - Experience with installing and configuring ODBC, JDBC drivers on Windows. - Candidate resides in the Plymouth MI area. PRIMARY LOCATION Pune Tech Center.,

You strive to be an essential member of a diverse team of visionaries dedicated to making a lasting impact. Don't pass up this opportunity to collaborate with some of the brightest minds in the field and deliver best-in-class solutions to the industry. As a Senior Lead Data Architect at JPMorgan Chase within the Consumer and Community Banking Data Technology, you are an integral part of a team that works to develop high-quality data architecture solutions for various software applications, platform, and data products. Drive significant business impact and help shape the global target state architecture through your capabilities in multiple data architecture domains. Represents the data architecture team at technical governance bodies and provides feedback regarding proposed improvements regarding data architecture governance practices. Evaluates new and current technologies using existing data architecture standards and frameworks. Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors. Design secure, high-quality, scalable solutions and reviews architecture solutions designed by others. Drives data architecture decisions that impact data product & platform design, application functionality, and technical operations and processes. Serves as a function-wide subject matter expert in one or more areas of focus. Actively contributes to the data engineering community as an advocate of firmwide data frameworks, tools, and practices in the Software Development Life Cycle. Influences peers and project decision-makers to consider the use and application of leading-edge technologies. Advises junior architects and technologists. Required qualifications, capabilities, and skills: - Formal training or certification on software engineering concepts and 5+ years of applied experience. - Advanced knowledge of architecture, applications, and technical processes with considerable in-depth knowledge in data architecture discipline and solutions (e.g., data modeling, native cloud data services, business intelligence, artificial intelligence, machine learning, data domain driven design, etc.). - Practical cloud-based data architecture and deployment experience, preferably AWS. - Practical SQL development experiences in cloud-native relational databases, e.g. Snowflake, Athena, Postgres. - Ability to deliver various types of data models with multiple deployment targets, e.g. conceptual, logical, and physical data models deployed as operational vs. analytical data stores. - Advanced in one or more data engineering disciplines, e.g. streaming, ELT, event processing. - Ability to tackle design and functionality problems independently with little to no oversight. - Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state data architecture. Preferred qualifications, capabilities, and skills: - Financial services experience, card and banking a big plus. - Practical experience in modern data processing technologies, e.g., Kafka streaming, DBT, Spark, Airflow, etc. - Practical experience in data mesh and/or data lake. - Practical experience in machine learning/AI with Python development a big plus. - Practical experience in graph and semantic technologies, e.g. RDF, LPG, Neo4j, Gremlin. - Knowledge of architecture assessments frameworks, e.g. Architecture Trade-off Analysis.,

The role is designed to facilitate the marketing analytics team in generating insights and aiding decision-making promptly by providing a wide range of high-quality downstream data assets and modern analytics tools. Your responsibilities will include understanding IHG systems and operational data to develop precise downstream data assets that align with business requirements. You will be tasked with driving data and process governance for these assets, integrating various tools, and ensuring data security through access control. Additionally, you will assist in evaluating analytics tools for specific business use cases and translating business needs into technical specifications to facilitate complex implementations by bridging the gap between business and technology teams. To excel in this role, you should possess expert-level SQL skills, proficiency in Python scripting, and experience working in a Cloud environment (AWS/GCP/Azure). A solid understanding of Data Architecture and the ability to comprehend data in an Enterprise context relative to business objectives are crucial. Your expertise should extend to extracting and managing structured and unstructured data from multiple sources, implementing data processes and standards for maintaining data quality, and defining business process flows and data standards. Effective communication skills, both written and verbal, are essential for engaging with business and IT teams. Strong analytical, problem-solving, and collaborative abilities are required, along with comfort in dealing with ambiguous or uncertain situations. The ideal candidate will hold a Bachelor's degree in Computer Science or a related field with 8 years of experience in data engineering or data analytics. Alternatively, a Master's degree in data analytics, data engineering, or a closely related field with 6 years of experience, including at least 4 years in data engineering or data analytics, will be considered. A minimum of four (4) years of relevant SQL coding experience, encompassing data management or related areas, is mandatory for this role.,

Apply Digital is a global digital transformation partner for change agents. Leveraging expertise that spans Business Transformation Strategy, Product Design & Development, Commerce, Platform Engineering, Data Intelligence, Marketing Services, Change Management, and beyond, we enable our clients to modernize their organizations and deliver meaningful impact to their business and customers. Our 750+ team members have helped transform global companies like Kraft Heinz, NFL, Moderna, Lululemon, Dropbox, Atlassian, A+E Networks, and The Very Group. Apply Digital was founded in 2016 in Vancouver, Canada, and has grown to nine cities across North America, South America, the UK, and Europe. At Apply Digital, the One Team approach is believed in, where operations are within a pod structure. Each pod combines senior leadership, subject matter experts, and cross-functional skill sets, all working within a common tech and delivery framework. The structure is supported by well-organized scrum and sprint cadences, ensuring teams release often and hold retrospectives to progress towards desired outcomes. Wherever Apply Digital operates globally, it envisions a safe, empowered, respectful, and fun community for its people every single day. The organization works to embody its SHAPE values (smart, humble, active, positive, and excellent) to create a space for the team to connect, grow, and support each other to make a difference. Apply Digital is a hybrid-friendly organization with remote options available if needed. The preferred candidate for the Analytics Implementation Consultant role should be based in or within a location commutable to the Delhi/NCR region of India, working in hours that overlap with the Eastern Standard Timezone (EST). In the initial role, the Analytics Implementation Consultant will support Kraft Heinz, a global leader in consumer packaged foods. Apply Digital aims to drive Kraft Heinz's digital transformation through implementable strategies, cutting-edge technology, and data-driven innovation to enhance consumer engagement and maximize business value. The role involves designing, implementing, and maintaining digital analytics solutions in collaboration with developers, data engineers, and product teams to ensure scalable and reliable data collection. Expertise in digital analytics platforms, tag management systems, JavaScript, SQL, and data layers is required, along with strong English language proficiency and experience working with remote teams. Responsibilities of the Analytics Implementation Consultant include supporting the development and implementation of robust analytics systems, collaborating with analysts and stakeholders to translate business problems into analytics solutions, QA testing data capture and reports, supporting the creation of presentations and recommendations, staying updated on technical trends and best practices, and contributing to the direction of the Data & Analytics Discipline. The ideal candidate for this role should have a strong proficiency in English, experience working with remote teams, 5+ years of analytics implementation experience, expertise with analytics platforms and tag management systems, front-end web development skills, experience with customer data platforms and mobile app analytics, understanding of statistical analysis and machine learning concepts, familiarity with data modeling and architecture principles, and the ability to manage multiple projects concurrently. A bachelor's degree in Computer Science, Data Science, Analytics, or Engineering is required. Experience with optimization tools is a plus. Apply Digital offers a hybrid-friendly work environment, comprehensive benefits including healthcare coverage and contributions to Provident fund, a gratuity bonus after five years of service, flexible PTO, engaging projects with international brands, an inclusive and safe workplace, generous training budgets, and a commitment to diversity, equity, and inclusion. Apply Digital values equal opportunity and nurtures an inclusive workplace where individual differences are recognized and celebrated. For more information, visit Apply Digital's Diversity, Equity, and Inclusion (DEI) page. Special needs or accommodations during the recruitment process can be requested by emailing india.careers@applydigital.com.,

As a valued member of SitusAMC, you will be part of a team dedicated to transforming our clients" businesses and fostering personal career development. Whether you are an experienced real estate professional, a technology enthusiast, or just starting your career journey, we invite you to join us in unlocking opportunities for all those we serve. We are committed to matching your unique skills and experiences with our exciting career opportunities, enabling you to achieve your full potential within the Real Estate Industry. If you are someone who values authenticity, advocates for others, embraces agility, dares to dream big, takes ownership of outcomes, and balances global vision with local impact, then we welcome you to be a part of our team! Your responsibilities will include: - Developing and implementing an organizational data strategy aligned with business processes, encompassing data model designs, database development standards, cloud/data warehouse management, and data analytics platforms. - Identifying internal and external data sources and devising a data management plan in line with the organizational data strategy. - Collaborating with cross-functional teams, stakeholders, and vendors to ensure the smooth operation of the Analytics data platform. - Managing the end-to-end data architecture, from platform selection to application development, testing, and implementation. - Planning and executing big data solutions utilizing cloud/on-premise technologies. - Defining data flow and information dissemination within the organization, ensuring data accessibility, accuracy, and security. - Overseeing Data governance and integrating technical functionality to maintain system performance and report any issues promptly. - Performing continuous audits of the data management system's performance and refining processes as needed. Qualifications/ Requirements: - Bachelor's degree or equivalent combination of education and experience. - Minimum of 8+ years of industry experience, with at least 2+ years in an AVP level role or equivalent. - Proficiency in systems development life cycle, project management, data modeling, data engineering, and database administration. - Familiarity with Analytics platform production, BI dashboards, ML algorithms, APIs, and data management/reporting technologies. - Ability to work with columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. The annual full-time base salary range for this role will be determined based on interviews, education, experience, skills, geographic location, and market data. Certain positions may also be eligible for discretionary bonuses based on program guidelines and senior management approval. SitusAMC provides a comprehensive and competitive benefits plan to support the well-being of our employees.,

Join Zendesk as a Data Engineering Manager and lead a team of data engineers who deliver meticulously curated data assets to fuel business insights. Collaborate with Product Managers, Data Scientists, and Data Analysts to drive successful implementation of data products. We are seeking a leader with advanced skills in data infrastructure, data warehousing, and data architecture, as well as a proven track record of scaling BI teams. Be a part of our mission to embrace data and analytics and create a meaningful impact within our organization. You will foster the growth and development of a team of data engineers, design, build, and launch new data models and pipelines in production, and act as a player-coach to amplify the effects of your team's work. Foster connections with diverse teams to comprehend data requirements, help develop and support your team in technical architecture, project management, and product knowledge. Define processes for operational excellence in project management and system reliability and set direction for the team to anticipate strategic and scaling-related challenges. Foster a healthy and collaborative culture that embodies our values. What You Bring to the Role: - Bachelor's degree in Computer Science/Engineering or related field. - 7+ years of proven experience in Data Engineering and Data Warehousing. - 3+ years as a manager of data engineering teams. - Proficiency with SQL & any programming language (Python/Ruby). - Experience with Snowflake, BigQuery, Airflow, dbt. - Familiarity with BI Tools (Looker, Tableau) is desirable. - Proficiency in modern data stack and architectural strategies. - Excellent written and oral communication skills. - Proven track record of coaching/mentoring individual contributors and fostering a culture valuing diversity. - Experience leading SDLC and SCRUM/Agile delivery teams. - Experience working with globally distributed teams preferred. Tech Stack: - SQL - Python/Ruby - Snowflake - BigQuery - Airflow - dbt Please note that this position requires physical location in and working from Pune, Maharashtra, India. Zendesk software was built to bring calm to the chaotic world of customer service. We advocate for digital-first customer experiences and strive to create a fulfilling and inclusive workplace experience. Our hybrid working model allows for connection, collaboration, and learning in person at our offices globally, as well as remote work flexibility. Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans. If you require an accommodation to participate in the hiring process, please email peopleandplaces@zendesk.com with your specific request.,

Job brief We are seeking an experienced Data Manager to lead the development and utilization of data systems. In this role, you will be responsible for identifying efficient methods to organize, store, and analyze data while maintaining strict security and confidentiality measures. An exceptional Data Manager comprehends the intricacies of data management and possesses a deep understanding of databases and data analysis procedures. You should also possess strong technical acumen and exceptional troubleshooting abilities. Your primary objective will be to ensure the seamless and secure flow of information within and outside the organization, guaranteeing timely access and delivery of data. By implementing effective data management practices, you will contribute to the overall success of our organization. Join our team and be a key driver in optimizing our data systems, unlocking valuable insights, and supporting data-driven decision-making processes. Responsibilities Create and enforce policies for effective data management Formulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data Devise and implement efficient and secure procedures for data handling and analysis with attention to all technical aspects Establish rules and procedures for data sharing with upper management, external stakeholders etc. Support others in the daily use of data systems and ensure adherence to legal and company standards Assist with reports and data extraction when needed Monitor and analyze information and data systems and evaluate their performance to discover ways of enhancing them (new technologies, upgrades etc.) Ensure digital databases and archives are protected from security breaches and data losses Troubleshoot data-related problems and authorize maintenance or modifications Requirements and skills Proven experience as data manager Excellent understanding of data administration and management functions (collection, analysis, distribution etc.) Familiarity with modern database and information system technologies Proficient in MS Office (Excel, Access, Word etc.) An analytical mindset with problem-solving skills Excellent communication and collaboration skills BSc/BA in computer science or relevant field

Avant de postuler un emploi, slectionnez votre langue de prfrence parmi les options disponibles en haut droite de cette page, Dcouvrez votre prochaine opportunitau sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales Envisagez des opportunits innovantes, dcouvrez notre culture enrichissante et travaillez avec des quipes talentueuses qui vous poussent vous dvelopper chaque jour Nous savons ce quil faut faire pour diriger UPS vers l'avenir : des personnes passionnes dotes dune combinaison unique de comptences Si vous avez les qualits, de la motivation, de l'autonomie ou le leadership pour diriger des quipes, il existe des postes adapts vos aspirations et vos comptences d'aujourd'hui et de demain, Job Summary Fiche de poste : This position provides leadership in full systems life cycle management ( e-g , analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc) to ensure delivery is on time and within budget He/She directs component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements and ensure compliance This position develops and leads AD project activities and integrations He/She guides teams to ensure effective communication and achievement of objectives This position researches and supports the integration of emerging technologies He/She provides knowledge and support for applicationsdevelopment, integration, and maintenance This position leads junior team members with project related activities and tasks He/She guides and influences department and project teams This position facilitates collaboration with stakeholders, Responsibilities Leads systems analysis and design, Leads design and development of applications, Develops and ensures creation of application documents, Defines and produces integration builds, Monitors emerging technology trends, Leads maintenance and support, Qualifications Bachelors Degree or International equivalent Bachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field Preferred Type De Contrat en CDI Chez UPS, galitdes chances, traitement quitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachs, Show

Jul 28, 2025 Location: Bengaluru Designation: Director Director - HR Tech Strategy Role Expectations: Lead sales and delivery of HR Process, Technology and Digital Strategy solutions across industries Deep capability and experience in multi-platform environments and extracting ROI efficiency from technology investments Core Experience: Consulting experience in developing HR Technology Strategy and Architecture, with a strong grip of HR Processes and Value Chains Deep hands-on experience in optimizing technology ROI in multi-platform environments Deep knowledge and experience in complex HR Tech Integration and data management strategy Deep industry experience in Technology / Media / Telecommunication; Financial Services; Consumer & Manufacturing Leadership experience in building and managing multiple projects and teams; independently leading business development initiatives Director - HR Tech Development Role Expectations: Leading delivery of transformative AI and Digital Solutions for Employee Experience and HR functional optimization Deep capability and experience in leading niche programming teams, developing and deployment in-house developed and specialized Digital/AI applications Core Experience: Experience in conceptualizing, designing and developing specialized digital HR applications (includes AI-powered solutions) Leading E2E deployment of HR Tech-Solutions in multi-platform environments Leading complex integrations and data architecture projects Knowledge and experience in HR Function, HR-AI use case design/libraries, software programming and generative/machine learning models Leadership experience in building and managing multiple projects and teams; leading business development initiatives

Grade G - Office/ CoreResponsible for providing advanced internal consultancy across BP around business process improvement, engaging with project and business teams to understand their requirements, analysing and measuring the effectiveness of existing business processes and developing sustainable, repeatable and quantifiable business process improvements. Entity: Customers & Products Business Support Group As bp transitions to a coordinated energy company, we must adapt to a changing world and maintain driven performance. bp s customers & products (C&P) business area is setting up a business and technology centre (BTC) in CITY, COUNTRY . This will support the delivery of an enhanced customer experience and drive innovation by building global capabilities at scale, using technology, and developing deep expertise . The BTC will be a core and connected part of our business, bringing together colleagues who report into their respective part of C&P, working together with other functions across bp. This is an exciting time to join bp and the customers & products BTC! Job Title: Process Specialist Data Senior SME About the role: As the Process Specialist Data for Castrol you will lead the design, governance, and sustainability of the Castrol Data Ecosystem across all major ERPs, source systems, and digital platforms. The role ensures strategic alignment with the Digital Business Strategy and drives transformation through agile methodologies. The Process Specialist Data acts as a domain expert, product owner, or scrum master depending on the scope and scale of initiatives! Key Accountabilities: Data Ecosystem Design & Lifecycle Management: Lead the design and continuous improvement of the Castrol Data Ecosystem, ensuring it is sustainable, scalable and aligned with the Data Management Framework, Data Standards and minimum design principles. Governance of the Data Management Framework: Supervise the repository covering data quality, pipelining, governance, modelling, compliance, and security across all systems and platforms. Strategic Data Challenge Resolution: Address data challenges across digital, MI, and analytics domains in collaboration with C&P, Technology, GBS, and Castrol s PUs, HUBs, Functions, and Markets. Data Integration Leadership: Act as an integrator for internal and third-party data sources, ensuring alignment with the Castrol Data Fabric standards and principles and future proofing digital capabilities like data augmentation, predictive analytics, decision intelligence and AI. Collaborate with peers and support multi-functional teams Work across time zones and lead multi-disciplinary initiatives Approach: Apply a solutioning attitude to scale global to local and a fluent communicator Recommend data architecture strategies, continuous improvement opportunities, and capability/toolkit enhancements to the Digital Operational Excellence Manager and business collaborators. Experience and Qualifications: Education: Degree in an analytical field (preferably engineering) Experience: 10+ years of relevant experience in delivering data strategies and ETL transformations within major ERP and business transformation programs. Deep expertise in data modelling, lineage, normalisation, harmonisation, Data pipelines and process design. Good ability to translate data into actionable insights using queries, models, and Power BI. Confident communicator with the ability to craft compelling data narratives. Skills & Proficiencies: Strategic and problem solver with leadership capabilities. Expertise in ERP systems (SAP/R3, SAP/S4, JDE). Skilled in ERP data layer navigation and lineage assessment. Proficient in Power BI and data visualisation. Capable of working across multiple levels of detail: data lineage, normalisation, quality, security, process design, and systems architecture. Strong influencing and leadership skills, to be able to flex style, zoom in/out in leading junior and senior collaborators with different levels of expertise. Demonstrated success in multi-functional deployments and performance optimisation. Proven leadership skills and a track record of successful deployment across multiple areas, with a focus on input and output success criteria measures. BP Behaviours: Respect Build strong, trust-based relationships through honest dialogue. Excellence Apply standard methodologies, act professionally, and strive for executional excellence. One Team Collaborate effectively and support team success. You will work with: You will be a part of 20 member Global Data & Analytics Team. You will operate peer to peer in a team of global seasoned experts on Process, Data, Advanced Analytics and Data Science. The Global Data & Analytics team reports into the Castrol Digital Enablement team that is managing the digital estate for Castrol where we enhance scalability, process and data integration! Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is not available for remote working Skills: Agility core practices, Agility tools, Business Operations, Business process architecture, Business process control, Business process improvement, Commercial Acumen, Communication, Data Management, Data visualization and interpretation, Decision Making, Demand Management, Design Thinking, Goal Setting, Influencing, Lean Practices, Managing change, Managing Performance, Project and programme management, Stakeholder Engagement, Stakeholder Management, Strategic Thinking, Workload Prioritization

Req ID: 331260 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Sr. .Net Engineer to join our team in Bangalore, Karn taka (IN-KA), India (IN). Who We Are: NTT DATA America strives to hire exceptional, innovative and passionate individuals who want to grow with us. Launch by NTT DATA is the culmination of the company s strategy to acquire and integrate the skills, experience, and technology of leading digital companies, backed by NTT DATA s core capabilities, global reach, and depth. How You ll Help Us: A Senior Application Developer is first and foremost a software developer who specializes in .NET C# development. You ll be part of a team focused on delivering quality software for our clients. How We Will Help You: Joining our Microsoft practice is not only a job, but a chance to grow your career. We will make sure to equip you with the skills you need to produce robust applications that you can be proud of. Whether it is providing you with training on a new programming language or helping you get certified in a new technology, we will help you grow your skills so you can continue to deliver increasingly valuable work. Once You Are Here, You Will: The Senior Applications Developer provides input and support for, and performs full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). You will participate in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements. This position provides input to applications development project plans and integrations. Additionally, you will collaborate with teams and support emerging technologies to ensure effective communication and achievement of objectives. The Senior Applications Developer provides knowledge / support for applications development, integration, and maintenance as well as providing input to department and project teams on decisions supporting projects. Basic Qualifications: 6+ years developing in .Net/.Net Core 3+ years of experience with Object Oriented Programming and SOLID Principles 3+ years of Rest API development 2+ years of experience working with Databases and writing stored procedures 2+ year of unit and service testing with frameworks such as xunit, Nunit, etc. 1+ year of cloud platform experience either in AWS, Azure, or GCP Preferred: Experience with CI/CD tooling i.e. Jenkins, Azure Devops etc Experience with containerization technologies e.g. Docker, Kubernetes GCP experience Ideal Mindset: Lifelong Learner: You are always seeking to improve your technical and nontechnical skills. Team Player: You are someone who wants to see everyone on the team succeed and is willing to go the extra mile to help a teammate in need. Communicator: You know how to communicate your design ideas to both technical and nontechnical stakeholders, prioritizing critical information and leaving out extraneous details. Include if in India: Please note Shift Timing Requirement: 1:30pm IST -10:30 pm IST

Software Engineer - PLM (Centric NGPLM Platform) Company Description We are looking for you who is immediate joiner and want to grow with us! Job Description: We are looking for a skilled Data Architect to join our PLM Centric NGPLM Platform team. The ideal candidate will play a critical role in shaping and maintaining data architecture standards, focusing on efficient data modeling, integration, and exchange across the enterprise PLM ecosystem. Collaborate with cross-functional teams to define and implement data architecture guidelines, including data modeling, access, and integration contract design. Lead the design and execution of data exchanges between PLM and other enterprise systems. Partner with Value Stream stakeholders and leadership to understand business needs and deliver effective data solutions. Work closely with the Centric Hub team to define and document data contracts and perform data mapping. Execute large-scale data migration using ETL techniques. Ensure seamless integration and alignment of data flows with business processes and systems. Required Skills & Qualifications: 5 to 8 years of strong knowledge of Retail PLM systems and data models, preferably Centric PLM . Proven experience in ETL processes and tools for large-scale data migration. Proficiency in working with JSON and XML data formats. Solid understanding of data architecture principles , including data access, transformation, and contract management. Excellent analytical, communication, and stakeholder management skills. Preferred Qualifications: Experience in PLM-Centric integrations or similar enterprise platform ecosystems. Familiarity with agile methodologies and DevOps principles in data projects. Start: Immediate Location: Bangalore Form of employment: Full-time until further notice, we apply 6 months probationary employment. We interview candidates on an ongoing basis, do not wait to submit your application.

Key Responsbilities: Lead technical pre-sales activities, including discovery, solution design, and client presentations. Collaborate with the sales team to understand client needs and architect robust data solutions on the Microsoft Azure stack. Develop and deliver compelling proposals, Statements of Work (SOWs), and technical architecture diagrams. Serve as the subject matter expert on modern data platforms, including Azure Synapse, Databricks, and Snowflake. Lead the design and development of Data Warehouses , Data Lakes , and Lakehouses following Medallion architecture principles (Bronze, Silver, Gold layers). Define and implement data ingestion pipelines from diverse sources (structured, semi-structured, and unstructured). Oversee the development of ETL/ELT processes , ensuring scalability, performance, and reusability. Lead the planning, execution, and delivery of multiple data projects , ensuring alignment with business goals, timelines, and quality standards. Drive data quality, lineage, cataloging, and governance best practices. Collaborate with DevOps teams to integrate CI/CD pipelines and automate deployments using Azure DevOps . Guide clients and internal teams on data architecture best practices for AI enablement and Gen AI applications. Lead and coach project teams during the initial standup phase, ensuring a smooth transition from your proposed solution to successful project execution. Build strong relationships with client stakeholders, acting as a trusted technical advisor. Evaluate & recommend tools, technologies, and frameworks to support data strategies. Work in the US time zone to collaborate effectively with US-based clients and internal teams. Required Candidate profile Experience: Total Experience: 10+ years in data architecture and implementation. Pre-Sales Experience: Minimum 3 years in a client-facing pre-sales or technical solutioning role is mandatory. Must-Have Skills & Qualifications: Technical Expertise: In-depth knowledge of the Microsoft Azure data platform (Azure Synapse Analytics, Azure Data Factory, Azure SQL, Azure Data Lake Storage). Modern Data Platforms: Hands-on experience with Databricks and/or Snowflake. AI Acumen: Strong understanding of AI workflows and data requirements. Must have a solid grasp of Gen AI applications and concepts. Leadership: Experience in mentoring, coaching, or leading technical teams or project initiation phases. Solutioning: Proven ability to create high-quality technical proposals, respond to RFPs, and design end-to-end data solutions. Communication: Exceptional English communication and presentation skills are essential for this client-facing role. Skills and Knowledge: AI, Pre Sales, and Azure Services. Apply We Are Looking For Ambitious, Experienced Developers! Glassdoor Have a referral? X

We are looking for a highly skilled and experienced Senior Data Engineer to join our growing data engineering team. The ideal candidate will have a strong background in building and optimizing data pipelines and data architecture, as well as experience with Azure cloud services. You will work closely with cross-functional teams to ensure data is accessible, reliable, and ready for analytics and business insights. Mandatory Skills Advanced SQL, Python and PySpark for data engineering Azure 1st party services (ADF, Azure Databricks, Synapse, etc.) Data warehousing (Redshift, Snowflake, Big Query) Workflow orchestration tools (Airflow, Prefect, or similar) Experience with DBT (Data Build Tool) for transforming data in the warehouse Hands-on experience with real-time/live data processing frameworks such as Apache Kafka, Apache Flink, or Azure Event Hubs Key Responsibilities Design, develop, and maintain scalable and reliable data pipelines Demonstrate experience and leadership across two full project cycles using Azure Data Factory, Azure Databricks, and PySpark Collaborate with data analysts, scientists, and software engineers to understand data needs Design and build scalable data pipelines using batch and real-time streaming architectures Implement DBT models to transform, test, and document data pipelines Implement data quality checks and monitoring systems Optimize data delivery and processing across a wide range of sources and formats Ensure security and governance policies are followed in all data handling processes Evaluate and recommend tools and technologies to improve data engineering capabilitie Lead and mentor junior data engineers as needed Work with cross-functional teams in a dynamic and fast-paced environment Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field Certifications in Databricks Professional are preferred Technical Skills Programming: Python, PySpark, SQL ETL tools and orchestration (e.g., Airflow, DBT), Cloud platforms (Azure) Real-time streaming tools: Kafka, Flink, Spark Streaming, Azure Event Hubs Data Warehousing: Snowflake, Big Query, Redshift Cloud: Azure (ADF, Azure Databricks) Orchestration: Apache Airflow, Prefect, Luigi Databases: PostgreSQL, MySQL, NoSQL (MongoDB, Cassandra) Tools: Git, Docker, Kubernetes (basic), CI/CD Soft Skills Strong problem-solving and analytical thinking Excellent verbal and written communication Ability to manage multiple tasks and deadlines Collaborative mindset with a proactive attitude Strong analytical skills related to working with unstructured datasets Good to Have Experience with real-time data processing (Kafka, Flink) Knowledge of data governance and privacy regulations (GDPR, HIPAA) Familiarity with ML model data pipeline integration Work Experience Minimum 5 years of relevant experience in data engineering roles Experience with Azure 1st party services across at least two full project lifecycles Compensation & Benefits Competitive salary and annual performance-based bonuses Comprehensive health and optional Parental insurance. Optional retirement savings plans and tax savings plans. Key Result Areas (KRAs) Timely development and delivery of high-quality data pipelines Implementation of scalable data architectures Collaboration with cross-functional teams for data initiatives Compliance with data security and governance standards Key Performance Indicators (KPIs) Uptime and performance of data pipelines Reduction in data processing time Number of critical bugs post-deployment Stakeholder satisfaction scores Successful data integrations and migrations

Skilled and motivated Data Engineer to join our dynamic technology team. The ideal candidate will have a strong background in data processing, cloud computing, and software development , with hands-on experience in Python, PySpark, Java , and Microsoft Azure . You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support advanced analytics and data science initiatives. Key Responsibilities: Design, develop, and maintain robust data pipelines using PySpark , Python , and Java . Implement and manage data workflows on Microsoft Azure and other public cloud platforms . Collaborate with data scientists, analysts, and IT operations to ensure seamless data integration and availability. Optimize data systems for performance, scalability, and reliability. Ensure data quality, governance, and security across all data platforms. Support DevOps practices for continuous integration and deployment of data solutions. Monitor and troubleshoot data infrastructure and resolve system issues. Document processes and maintain data architecture standards. Required Skills & Qualifications: Bachelors or Masters degree in Computer Science, Information Technology, or related field. 3+ years of experience in data engineering , software development , or IT operations . Proficiency in Python , PySpark , and Java . Experience with cloud computing platforms, especially Microsoft Azure . Strong understanding of data management , data processing , and data analysis . Familiarity with multi-paradigm programming and modern software development practices. Knowledge of DevOps tools and methodologies. Experience with system administration and cloud providers . Excellent problem-solving and communication skills. Preferred Qualifications: Certifications in Azure , Python Data Science , or related technologies. Experience with public cloud environments like AWS or GCP. Familiarity with big data tools and frameworks. Exposure to data science workflows and tools. Skilled and motivated Data Engineer to join our dynamic technology team. The ideal candidate will have a strong background in data processing, cloud computing, and software development , with hands-on experience in Python, PySpark, Java , and Microsoft Azure . You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support advanced analytics and data science initiatives. Key Responsibilities: Design, develop, and maintain robust data pipelines using PySpark , Python , and Java . Implement and manage data workflows on Microsoft Azure and other public cloud platforms . Collaborate with data scientists, analysts, and IT operations to ensure seamless data integration and availability. Optimize data systems for performance, scalability, and reliability. Ensure data quality, governance, and security across all data platforms. Support DevOps practices for continuous integration and deployment of data solutions. Monitor and troubleshoot data infrastructure and resolve system issues. Document processes and maintain data architecture standards. Required Skills & Qualifications: Bachelors or Masters degree in Computer Science, Information Technology, or related field. 3+ years of experience in data engineering , software development , or IT operations . Proficiency in Python , PySpark , and Java . Experience with cloud computing platforms, especially Microsoft Azure . Strong understanding of data management , data processing , and data analysis . Familiarity with multi-paradigm programming and modern software development practices. Knowledge of DevOps tools and methodologies. Experience with system administration and cloud providers . Excellent problem-solving and communication skills. Preferred Qualifications: Certifications in Azure , Python Data Science , or related technologies. Experience with public cloud environments like AWS or GCP. Familiarity with big data tools and frameworks. Exposure to data science workflows and tools.

The Apex Group was established in Bermuda in 2003 and is now one of the worlds largest fund administration and middle office solutions providers. Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion. Thats why, at Apex Group, we will do more than simply empower you. We will work to supercharge your unique skills and experience. Take the lead and well give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities. For our business, for clients, and for you Market Data Integration Support - Techno Functional Specialist LocationBengaluru Experience2 to 4 years DesignationAssociate Industry/DomainETL/Mapping Tool, VBA, SQL, Market Data Specialist, Capital Market knowledge Apex Group Ltd has a requirement for Market Data Integration Specialist. We are seeking an inquisitive and analytical thinker who will be responsible for ensuring the quality, accuracy, and consistency of pricing & reference data with recommended data providers in financial domain such as Bloomberg, Refinitiv and Markit. Role is responsible for developing approaches, logic, methodology and business requirements for validating, normalizing, integrating, transforming, and distributing data using data platforms and analytics tools. Candidate will be responsible for maintaining the integrity of organisational critical data and supporting data-driven decision-making. Candidate will be a data professional with a technical and commercial mindset, as well as an excellent communicator with strong stakeholder management skills. Work Environment: Highly motivated, collaborative, and results driven. Growing business within a dynamic and evolving industry. Entrepreneurial approach to everything we do. Continual focus on process improvement and automation. Technical/ Functional Expertise Required Develop an understanding of reference and master data sets, vendor data (Bloomberg, Refinitiv, Markit) and underlying data architecture, processes, methodology and systems. Should have strong knowledge of market data provider applications (Bloomberg, Refinitiv etc.). Develop automated frameworks to produce source and target mappings, data load and extraction process, data pre-processing, transformation, integration from various sources and data distribution. Work with business to analyse and understand business requirements and review/produce technical and business specification with focus on reference data modelling. Integrate business requirements into logical solution through qualitative and quantitative data analysis and prototyping. Strong knowledge on overall pricing and static data concepts like different investment types, pricing types, vendor hierarchy, price methodology, market value concept. Analyse complex production issues and provide solution. Produce detailed functional and technical specification documents for development and testing. Hands on experience in working on any ETL tools is mandatory . Strong command of SQL, VBA, and Advance Excel. Understanding of the funds administration industry is necessary. Intermediate knowledge of financial instruments, both listed and unlisted or OTCs which includes and not limited to derivatives, illiquid stocks, private equity, bankdebts, and swaps. Testing and troubleshooting integrations and technical configurations. Effectively multi-task, schedule and prioritize deliverables to meet the project timelines. Ensure operational guidelines are updated & adhere to standards, procedures & also identify plan to mitigate risks wherever there is a control issue. Ability to contribute towards critical projects for product enhancements and efficiency gains. Good understanding of Geneva, Paxus , or any other accounting system. Self - starter with a quick learning ability, possessing strong verbal and written communication skills, and have an ability to present effectively. Maintenance and creation of standard Operating Procedure. Proficiency in an accounting system, preferably Advent Geneva or Paxus would be added advantage. An ability to work under pressure with changing priorities. Experience and Knowledge: 3+ years of related experience in support/ technical in any accounting platform (Paxus/ Geneva). Connect with operation to understand & resolve their issues. Experience working data vendors (Bloomberg/ Refinitiv/ Markit) Able to handle reporting issue/ New requirement raised by operations. Strong analytical, problem solving, and troubleshooting abilities. Strong Excel and Excel functions knowledge for business support. Create and maintain Business documentation, including user manuals and guides. Worked on system upgrade/ migration/ Integration. Other Skills: Good team player, ability to work on a local, regional, and global basis. Excellent communication & management skills Good understanding of Financial Services/ Capital Markets/ Fund Administration DisclaimerUnsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

Your Role Architect, design, and implement data collection strategies across various channels (web, mobile, offline, etc.) using Tealium iQ Tag Management. Develop and maintain Tealium AudienceStream segments and triggers for customer segmentation and activation. Integrate Tealium CDP with other marketing technology platforms (e.g., CRM, DMP, email marketing platforms, ad servers). Develop and maintain custom JavaScript for data collection and enrichment. Your Profile Hands-on experience with Tealium iQ Tag Management and AudienceStream. Strong understanding of data collection methodologies, data warehousing, and data integration principles. Experience with JavaScript, HTML, and CSS. Experience with API integrations and data exchange formats (e.g., JSON, XML). Strong analytical and problem-solving skills. Excellent communication, interpersonal, and collaboration skills. What youll love about working here You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learn on one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications.Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work . About Capgemini Location - Pune,Bengaluru,Chennai,Hyderabad

The Enterprise Data Architect will enhancethe company's strategic use of data by designing, developing, and implementingdata models for enterprise applications and systems at conceptual, logical,business area, and application layers. This role advocates data modelingmethodologies and best practices. We seek a skilled Data Architect with deepknowledge of data architecture principles, extensive data modeling experience,and the ability to create scalable data solutions. Responsibilities includedeveloping and maintaining enterprise data architecture, ensuring dataintegrity, interoperability, security, and availability, with a focus onongoing digital transformation projects. Key Responsibilities 1. Strategy Planning o Develop and deliver long-term strategic goalsfor data architecture vision and standards in conjunction with data users,department managers, clients, and other key stakeholders. o Create short-term tactical solutions toachieve long-term objectives and an overall data management roadmap. o Establish processes for governing theidentification, collection, and use of corporate metadata; take steps to assuremetadata accuracy and validity. o Establish methods and procedures for trackingdata quality, completeness, redundancy, and improvement. o Conduct data capacity planning, life cycle,duration, usage requirements, feasibility studies, and other tasks. o Create strategies and plans for data security,backup, disaster recovery, business continuity, and archiving. o Ensure that data strategies and architecturesare aligned with regulatory compliance. o Develop a comprehensive data strategy incollaboration with different stakeholders that aligns with the transformationalprojects goals. o Ensure effective data management throughoutthe project lifecycle. 2. Acquisition Deployment o Ensure the success of enterprise-levelapplication rollouts (e.g. ERP, CRM, HCM, FPA, etc.) Liaise with vendorsand service providers to select the products or services that best meet company goals 3. Operational Management Assess and determine governance, stewardship, and frameworks for managing data across the organization. Develop and promote data management methodologies and standards. Document information products from business processes and create data entities Create entity relationship diagrams to show the digital thread across the value streams and enterprise Create data normalization across all systems and data base to ensure there is common definition of data entities across the enterprise Document enterprise reporting needs develop the data strategy to enable single source of truth for all reporting data Address the regulatory compliance requirements of each country and ensure our data is secure and compliant Select and implement the appropriate tools, software, applications, and systems to support data technology goals. Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. Collaborate with project managers and business unit leaders for all projects involving enterprise data. Address data-related problems regarding systems integration, compatibility, and multiple-platform integration. Act as a leader and advocate of data management, including coaching, training, and career development to staff. Develop and implement key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture. Document the data architecture and environment to maintain a current and accurate view of the larger data picture. Identify and develop opportunities for data reuse, migration, or retirement. 4. Data Architecture Design: Develop and maintain the enterprise data architecture, including data models, databases, data warehouses, and data lakes. Design and implement scalable, high-performance data solutions that meet business requirements. 5. Data Governance: Establish and enforce data governance policies and procedures as agreed with stakeholders. Maintain data integrity, quality, and security within Finance, HR and other such enterprise systems. 6. Data Migration: Oversee the data migration process from legacy systems to the new systems being put in place. Define & Manage data mappings, cleansing, transformation, and validation to ensure accuracy and completeness. 7. Master Data Management: Devise processes to manage master data (e.g., customer, vendor, product information) to ensure consistency and accuracy across enterprise systems and business processes. Provide data management (create, update and delimit) methods to ensure master data is governed 8. Stakeholder Collaboration: Collaborate with various stakeholders, including business users, other system vendors, and stakeholders to understand data requirements. Ensure the enterprise system meets the organization's data needs. 9. Training and Support: Provide training and support to end-users on data entry, retrieval, and reporting within the candidate enterprise systems. Promote user adoption and proper use of data. 10. Data Quality Assurance: Implement data quality assurance measures to identify and correct data issues. Ensure the Oracle Fusion and other enterprise systems contain reliable and up-to-date information. 11. Reporting and Analytics: Facilitate the development of reporting and analytics capabilities within the Oracle Fusion and other systems Enable data-driven decision-making through robust data analysis. 1.Continuous Improvement: Continuously monitor and improve data processes and the Oracle Fusion and other system's data capabilities. Leverage new technologies for enhanced data management to support evolving business needs. Technology and Tools: Oracle Fusion Cloud Data modeling tools (e.g., ER/Studio, ERwin) ETL tools (e.g., Informatica, Talend, Azure Data Factory) Data Pipelines: Understanding of data pipeline tools like Apache Airflow and AWS Glue. Database management systems: Oracle Database, MySQL, SQL Server, PostgreSQL, MongoDB, Cassandra, Couchbase, Redis, Hadoop, Apache Spark, Amazon RDS, Google BigQuery, Microsoft Azure SQL Database, Neo4j, OrientDB, Memcached) Data governance tools (e.g., Collibra, Informatica Axon, Oracle EDM, Oracle MDM) Reporting and analytics tools (e.g., Oracle Analytics Cloud, Power BI, Tableau, Oracle BIP) Hyperscalers / Cloud platforms (e.g., AWS, Azure) Big Data Technologies such as Hadoop, HDFS, MapReduce, and Spark Cloud Platforms such as Amazon Web Services, including RDS, Redshift, and S3, Microsoft Azure services like Azure SQL Database and Cosmos DB and experience in Google Cloud Platform services such as BigQuery and Cloud Storage. Programming Languages: (e.g. using Java, J2EE, EJB, .NET, WebSphere, etc.) SQL: Strong SQL skills for querying and managing databases Python: Proficiency in Python for data manipulation and analysis. Java: Knowledge of Java for building data-driven applications. Data Security and Protocols: Understanding of data security protocols and compliance standards. Education: Bachelor’s degree in computer science, Information Technology, or a related field. Master’s degree preferred. Experience: 10+ years overall and at least 7 years of experience in data architecture, data modeling, and database design. Proven experience with data warehousing, data lakes, and big data technologies. Expertise in SQL and experience with NoSQL databases. Experience with cloud platforms (e.g., AWS, Azure) and related data services. Experience with Oracle Fusion or similar ERP systems is highly desirable. Skills: Strong understanding of data governance and data security best practices. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work effectively in a collaborative team environment. Leadership experience with a track record of mentoring and developing team members. Excellent in documentation and presentations. Good knowledge of applicable data privacy practices and laws. Certifications: Relevant certifications (e.g., Certified Data Management Professional, AWS Certified Big Data – Specialty) are a plus. Behavioral A self-starter, an excellent planner and executor and above all, a good team player Excellent communication skills and inter-personal skills are a must Must possess organizational skills, including multi-task capability, priority setting and meeting deadlines Ability to build collaborative relationships and effectively leverage networks to mobilize resources Initiative to learn business domain is highly desirable Likes dynamic and constantly evolving environment and requirements

Acuitys Data and Technology Services group is seeking a skilled Salesforce Data Migration Engineer to lead and execute data migration efforts from legacy systems to Salesforce. The ideal candidate will have deep experience with Salesforce data architecture, ETL tools, and data quality best practices. You will play a critical role in ensuring data integrity, accuracy, and completeness throughout the migration lifecycle. Desired Skills and experience Candidates should have a B.E./B.Tech/MCA/MBA in Finance, Information Systems, Computer Science or a related field 3+ years of experience in Salesforce data migration or CRM data migration projects. Proficiency with Salesforce tools (Data Loader, Workbench, etc.) and ETL platforms. Strong understanding of Salesforce data model, objects, relationships, and APIs. Experience with SQL, SOQL, and data transformation scripting. Experience of working with systems and technologies on the financial institutions. Experience working on agile methodology, Jira, Confluence, etc. Good understanding of technology aspects of the working of API, system integration, data transfer, stack, etc. Excellent communication skills, both written and verbal Extremely strong organizational and analytical skills with strong attention to detail Strong track record of excellent results delivered to internal and external clients Able to work independently without the needs for close supervision and also collaboratively as part of cross-team efforts Experience with delivering projects within an agile environment Experience in project management and team management Key responsibilities include: Analyze legacy data sources and define data mapping and transformation rules for Salesforce. Design and implement data migration strategies using tools like Data Loader, Talend, Informatica, MuleSoft, or custom scripts. Collaborate with business analysts, developers, and stakeholders to understand data requirements and ensure alignment with business goals. Perform data cleansing, deduplication, and validation to ensure high-quality data in Salesforce. Develop and execute test plans for data migration, including unit testing, system integration testing, and user acceptance testing (UAT). Monitor and troubleshoot data migration issues, ensuring timely resolution. Document data migration processes, mappings, and configurations for future reference and audits. Support post-migration activities including data reconciliation and performance tuning. Collaborate with domain experts and business stakeholders to understand business rules/logics Ensure effective, efficient, and continuous communication (written and verbally) with global stakeholders Independently troubleshoot difficult and complex issues on dev, test, UAT and production environments Responsible for end-to-end delivery of projects, coordination between client and internal offshore teams and manage client queries Demonstrate high attention to detail, should work in a dynamic environment whilst maintaining high quality standards, a natural aptitude to develop good internal working relationships and a flexible work ethic Responsible for Quality Checks and adhering to the agreed Service Level Agreement (SLA) / Turn Around Time (TAT)

This position provides input, support, and performs full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements. This position provides input to applications development project plans and integrations. He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives. This position provides knowledge and support for applications development, integration, and maintenance. He/She provides input to department and project teams on decisions supporting projects. Responsibilities: Performs systems analysis and design. Designs and develops moderate to highly complex applications. Develops application documentation. Produces integration builds. Performs maintenance and support. Supports emerging technologies and products. Qualifications: Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

This position provides leadership in full systems life cycle management (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.) to ensure delivery is on time and within budget. He/She directs component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements and ensure compliance. This position develops and leads AD project activities and integrations. He/She guides teams to ensure effective communication and achievement of objectives. This position researches and supports the integration of emerging technologies. He/She provides knowledge and support for applications development, integration, and maintenance. This position leads junior team members with project related activities and tasks. He/She guides and influences department and project teams. This position facilitates collaboration with stakeholders. Responsibilities: Leads systems analysis and design. Leads design and development of applications. Develops and ensures creation of application documents. Defines and produces integration builds. Monitors emerging technology trends. Leads maintenance and support. Qualifications: Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

Step into the role of a Senior Lead Architect at JPMorgan Chase and become a driving force behind the development and adoption of cutting-edge, cloud-based technologies. As a Senior Lead Architect at JPMorgan Chase within the Wholesale Credit Risk Technology team, you provide expertise to enhance and develop architecture platforms based on modern cloud-based technologies, as well as support the adoption of strategic global solutions. Leverage your advanced architecture capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes. In this role, you will advise and lead on strategy and development of multiple products, applications, and technologies across the Client Management product line within Wholesale Credit Risk and establish/lead an architecture governance body for the product line. You will also summarize architectural milestones and progress for executive communication to enable decision making. Job responsibilities Advises cross-functional teams on technology selection to achieve target state architecture and decisions on improvements to current technologies Creates complex and scalable coding frameworks using appropriate software design Serves as the function s go-to subject matter expert Creates durable, reusable software frameworks that improves velocity and quality of output across teams and functions Documents detailed architectural guidelines, principles & implementation strategies in the form of white paper documents that the various scrum teams can align with and implement Translates highly complex technical issues, trends, and approaches to leadership to drive the firm s innovation and enable leaders to make strategic, well-informed decisions about target state architecture Drives adoption and implementation of technical methods in specialized fields in line with the latest product development methodologies Drives adoption and implementation of data architecture specifications in technology solutions Collaborates and communicates effectively with other architects, technical leads, software engineers and Product Owner partners Aligns with the Engineering Teams, with joint accountability for delivery through strong partnership and collaboration Champions the firm s culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification in software engineering concepts and 5+ years of applied experience. Practical experience delivering system design, application development, testing, and operational stability Expertise in one or more programming language(s), including Java or Python Demonstrated prior experience influencing across functions and teams to deliver modern architecture Ability to evaluate current and emerging technologies to recommend the best technology solutions and approaches to achieve the future state architecture Experience applying expertise and new methods to determine solutions for complex architecture problems across various technical disciplines Practical cloud native experience Ability to present and effectively communicate to Senior Leaders and Executives Preferred qualifications, capabilities, and skills Experience with Risk or Finance functional domain Step into the role of a Senior Lead Architect at JPMorgan Chase and become a driving force behind the development and adoption of cutting-edge, cloud-based technologies. As a Senior Lead Architect at JPMorgan Chase within the Wholesale Credit Risk Technology team, you provide expertise to enhance and develop architecture platforms based on modern cloud-based technologies, as well as support the adoption of strategic global solutions. Leverage your advanced architecture capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes. In this role, you will advise and lead on strategy and development of multiple products, applications, and technologies across the Client Management product line within Wholesale Credit Risk and establish/lead an architecture governance body for the product line. You will also summarize architectural milestones and progress for executive communication to enable decision making. Job responsibilities Advises cross-functional teams on technology selection to achieve target state architecture and decisions on improvements to current technologies Creates complex and scalable coding frameworks using appropriate software design Serves as the function s go-to subject matter expert Creates durable, reusable software frameworks that improves velocity and quality of output across teams and functions Documents detailed architectural guidelines, principles & implementation strategies in the form of white paper documents that the various scrum teams can align with and implement Translates highly complex technical issues, trends, and approaches to leadership to drive the firm s innovation and enable leaders to make strategic, well-informed decisions about target state architecture Drives adoption and implementation of technical methods in specialized fields in line with the latest product development methodologies Drives adoption and implementation of data architecture specifications in technology solutions Collaborates and communicates effectively with other architects, technical leads, software engineers and Product Owner partners Aligns with the Engineering Teams, with joint accountability for delivery through strong partnership and collaboration Champions the firm s culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification in software engineering concepts and 5+ years of applied experience. Practical experience delivering system design, application development, testing, and operational stability Expertise in one or more programming language(s), including Java or Python Demonstrated prior experience influencing across functions and teams to deliver modern architecture Ability to evaluate current and emerging technologies to recommend the best technology solutions and approaches to achieve the future state architecture Experience applying expertise and new methods to determine solutions for complex architecture problems across various technical disciplines Practical cloud native experience Ability to present and effectively communicate to Senior Leaders and Executives Preferred qualifications, capabilities, and skills Experience with Risk or Finance functional domain

Business Function The Data Chapter is a strategic partner to the business, leveraging cutting-edge AI and ML technologies to drive data-led initiatives that mitigate risk, generate revenue, and improve operational efficiency. We ensure data integrity and governance, providing high-quality analysis, insights, and automation to empower data-driven decision-making across DBS. Our collaborative approach ensures timely and actionable solutions that support the organizations strategic objectives Responsibilities: Design, develop, and deploy advanced AI/ML models to extract actionable insights, automate processes, and support strategic decision-making across business units. Design and collaborate with team to develop the end-to-end lifecycle of AI initiatives from problem scoping, data engineering, model development, validation, deployment, to monitoring. Collaborate closely with cross-functional teams including product, engineering, and business stakeholders to identify high-impact AI opportunities and deliver innovative solutions. Drive experimentation with cutting-edge techniques such as deep learning, generative AI (e.g., LLMs, GANs), and reinforcement learning to solve complex problems and create value. Conduct risk modeling, scenario analysis, and business impact evaluations to ensure AI solutions are robust, ethical, and aligned with organizational goals. Contribute to the development of best practices, toolkits, and scalable AI pipelines. Stay current with emerging trends and research in AI and machine learning, and evaluate their potential application within the organization. Requirements: 6-8 years of hands-on experience in data science, machine learning, or AI, with a proven track record of deploying models in production environments. Strong expertise in Python and common ML/AI libraries (e.g., scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain,LangGraph etc). Solid understanding of data architecture, model deployment (MLOps), and working with cloud platforms (e.g., AWS, Azure, GCP). Demonstrated experience with generative AI technologies such as transformers, large language models (LLMs), or diffusion models. Proficiency in statistical analysis, feature engineering, and advanced machine learning techniques (e.g., ensemble methods, NLP, time-series). Excellent problem-solving, analytical thinking, and business acumen. Strong written and verbal communication skills; ability to influence and collaborate with senior stakeholders. Master s in Computer Science, Data Science, Artificial Intelligence, or a related field is highly preferred. Apply Now We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.

This position provides input, support, and performs full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements. This position provides input to applications development project plans and integrations. He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives. This position provides knowledge and support for applications development, integration, and maintenance. He/She provides input to department and project teams on decisions supporting projects. Responsibilities: Performs systems analysis and design. Designs and develops moderate to highly complex applications. Develops application documentation. Produces integration builds. Performs maintenance and support. Supports emerging technologies and products. Primary Skills: 7-10 years of experience as full stack developer. C#/Dotnet Framework and Dotnet Core Framework - MVC, Entity Framework Web-Development (ASP.NET/Angular) Database(MS SQL) ReST API (Micro/Webservices), Web API Secondary Skills: Cloud Development - Azure Functions, Graph API Azure DevOps(CI/CD) Qualifications: 7-10 years of experience as full stack developer. Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred