1769 Data Architecture Jobs - Page 6

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Lead Software Engineer at JPMorgan Chase within Commercial and Investment Bank s Digital Platform Channel Engineering Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develop secure high-quality production code, and reviews and debugs code written by others Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Use APIs and SDKs for both niche solutions as well as open standards Drive quality and efficiency of the software development lifecycle Set high technical standards for team Lead evaluation sessions with appropriate teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Add to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Expertise in application and data architecture disciplines Application development using Java Spring/Spring Boot in micro services application Experience using Relational /NoSQL database related implementation such as MySQL, Cockroach DB. Proficiency in automation and continuous delivery methods Ability to work collaboratively in local and global teams and develop meaningful relationships to achieve common goals. Ability to tackle design and functionality problems independently with little to no oversight Preferred qualifications, capabilities, and skills Proficiency in NodeJs, React Practical cloud native experience with stack including but not limited to Docker, Kubernetes Strong understanding of OOP & SOA principles, design patterns, industry best practices Ability to drive requirement refinement with product and stakeholders We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Lead Software Engineer at JPMorgan Chase within Commercial and Investment Bank s Digital Platform Channel Engineering Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develop secure high-quality production code, and reviews and debugs code written by others Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Use APIs and SDKs for both niche solutions as well as open standards Drive quality and efficiency of the software development lifecycle Set high technical standards for team Lead evaluation sessions with appropriate teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Add to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Expertise in application and data architecture disciplines Application development using Java Spring/Spring Boot in micro services application Experience using Relational /NoSQL database related implementation such as MySQL, Cockroach DB. Proficiency in automation and continuous delivery methods Ability to work collaboratively in local and global teams and develop meaningful relationships to achieve common goals. Ability to tackle design and functionality problems independently with little to no oversight Preferred qualifications, capabilities, and skills Proficiency in NodeJs, React Practical cloud native experience with stack including but not limited to Docker, Kubernetes Strong understanding of OOP & SOA principles, design patterns, industry best practices Ability to drive requirement refinement with product and stakeholders

As a Senior Data Engineer, you will proactively design and implement data solutions that support our business needs while adhering to data protection and privacy standards. In addition to this, you would also be required to manage the technical delivery of the project, lead the overall development effort, and ensure timely and quality delivery. Responsibilities : Data Acquisition : Proactively design and implement processes for acquiring data from both internal systems and external data providers. Understand the various data types involved in the data lifecycle, including raw, curated, and lake data, to ensure effective data integration. SQL Development : Develop advanced SQL queries within database frameworks to produce semantic data layers that facilitate accurate reporting. This includes optimizing queries for performance and ensuring data quality. Linux Command Line : Utilize Linux command-line tools and functions, such as bash shell scripts, cron jobs, grep, and awk, to perform data processing tasks efficiently. This involves automating workflows and managing data pipelines. Data Protection : Ensure compliance with data protection and privacy requirements, including regulations like GDPR. This includes implementing best practices for data handling and maintaining the confidentiality of sensitive information. Documentation : Create and maintain clear documentation of designs and workflows using tools like Confluence and Visio. This ensures that stakeholders can easily communicate and understand technical specifications. API Integration and Data Formats : Collaborate with RESTful APIs and AWS services (such as S3, Glue, and Lambda) to facilitate seamless data integration and automation. Demonstrate proficiency in parsing and working with various data formats, including CSV and Parquet, to support diverse data processing needs. Key Requirements: 5+ years of experience as a Data Engineer , focusing on ETL development. 3+ years of experience in SQL and writing complex queries for data retrieval and manipulation. 3+ years of experience in Linux command-line and bash scripting. Familiarity with data modelling in analytical databases. Strong understanding of backend data structures, with experience collaborating with data engineers ( Teradata, Databricks, AWS S3 parquet/CSV ). Experience with RESTful APIs and AWS services like S3, Glue, and Lambda Experience using Confluence for tracking documentation. Strong communication and collaboration skills, with the ability to interact effectively with stakeholders at all levels. Ability to work independently and manage multiple tasks and priorities in a dynamic environment. Bachelors degree in Computer Science, Engineering, Information Technology, or a related field. Good to Have: Experience with Spark Understanding of data visualization tools, particularly Tableau. Knowledge of data clean room techniques and integration methodologies.

As a COE Solutions Delivery Lead at Teradata, you will play a crucial role in establishing and managing the Core Delivery Team of Solutions COE SMEs/Technical Leads/Architects. Your responsibilities will include collaborating with COE Region Solution Leads, Teradata Delivery Teams, and Teradata Account Teams to develop and manage the Solution Delivery Methodology/Assets. You will be accountable for the successful delivery of solutions as per the expected delivery & quality metrics, continuous improvement in delivery efficiency target metrics, and maintaining high CSAT. Your role will require strong technical management skills, project delivery and governance skills, team building, mentoring and interpersonal skills, a deep understanding of the Teradata Solutions Strategy and Teradata Technology, Data Architecture, and the partner engagement model. You will report directly to Teradata's Head of Solution COE. Key Responsibilities: - Technical accountability for project delivery executions - Conceptualize and Build an Execution to support and scale project executions - Establish program and project delivery frameworks - Conduct periodic governance reviews on delivery improvement initiatives - Participate as a thought leader and contribute to the core objectives of the COE - Build and run a comprehensive Delivery Governance model - Drive efficiencies across project execution teams - Collaborate with stakeholders to build/utilize the COE Delivery team - Provide mentoring and guidance to Project Execution Teams - Maintain comprehensive documentation of the Execution Assets - Be one of the core influencers for Solution Deliveries The successful candidate for this role will have a minimum of 15 years of IT work experience, with at least 10 years in large project implementation roles. Additionally, a minimum of 5 years of Teradata Implementation experience, with at least 2 years of strong AI/Data solution implementations is required. Experience in building successful project execution teams, leading effective teams, collaborating across business units, and knowledge of the latest delivery and governance methodologies are essential. Your collaborative attitude, strong analytical skills, excellent communication skills, ability to coordinate with stakeholders, manage timelines, prioritize assignments, and work both independently and in a team environment will be key to your success in this role. At Teradata, we prioritize a people-first culture, embrace a flexible work model, focus on well-being, and are committed to Diversity, Equity, and Inclusion. Join us in empowering our customers to make better, more confident decisions with our cloud analytics and data platform for AI.,

As a Data Architect, you will play a crucial role in designing, implementing, and maintaining scalable data architecture solutions aligned with business objectives. You will collaborate with cross-functional teams to translate business requirements into data models and architecture, ensuring data quality, integrity, security, and compliance across all systems. Your expertise in data modeling, ETL processes, and big data solutions will be essential in integrating disparate data sources for seamless data flow and access. Your responsibilities will include developing and maintaining data pipelines, creating complex data visualizations, and recommending tools to enhance the overall data strategy. You must possess a Bachelor's degree in Computer Science or a related field, along with relevant IT certifications in data management or software architecture. With a minimum of 5 years of hands-on experience in software design and data architecture projects, you should have a background in roles such as Database Administrator, Data Analyst, or Data Engineer. Proficiency in data modeling techniques, ETL tools, programming languages like Python or Java, and business intelligence tools such as Tableau and Power BI is required. Familiarity with big data technologies, Agile methodologies, and data security principles is essential. Your strong analytical and problem-solving abilities, along with excellent communication and stakeholder management skills, will be key to your success in this role. You should be ready to work onsite in Bengaluru for an initial 3-month engagement, with the possibility of a 6-month contract extension. Your ability to work in a day shift from Monday to Friday, along with morning shifts, will be crucial. If you possess the required qualifications, experience, and skills mentioned above and are eager to take on this challenging role, we look forward to receiving your application.,

As an Operational Data Steward, your primary responsibility is to support data owners and stewards in establishing common data standards, definitions, and quality requirements. You will play a crucial role in ensuring that data is accurately defined, classified, and cataloged in enterprise tools. Collaboration with various business data users, process owners, systems owners, and data creators is essential to help achieve objectives while maintaining adherence to data standards. Your duties will include coordinating the capture and tracking of data issues, engaging stakeholders, conducting ad hoc data profiling, and preparing regular reports. In cases of events, issues, or breaches related to data, you may be required to assist with escalations. Additionally, you will be responsible for administering data forums, gathering and distributing relevant material in a timely manner to members, and identifying risks and issues to quantify their impacts or value. Furthermore, you will support the development and maintenance of data as an asset, focusing on classifying and organizing it for efficient discovery and access. This involves developing metadata rules to facilitate data classification and discovery. Ensuring the accuracy and accessibility of information to users is a critical aspect of your role, including maintaining and updating the Data Catalogue and Business Glossary based on agreed priorities. Your contribution is vital in driving greater data community adoption of data knowledge tools and ensuring incremental improvement in data management standard compliance. You will actively participate in data quality rule development, monitoring, and providing recommendations. Collaboration with other Data Stewards and Subject Matter Experts (SMEs) for root cause analysis is also part of your responsibilities. We are seeking a candidate with a minimum of 5 years of experience in a data role, encompassing data analysis, reporting, analytics, or business intelligence. You should possess significant experience in managing data lifecycle processes and data value chains, along with exposure to technology, process, or data projects. Familiarity with Data Management maturity models and various data management practices/disciplines is crucial, including data architecture, master data management, data quality, governance, and data knowledge management. Demonstrated ability to influence and solve complex problems, strong stakeholder management skills, and proactive resilience to stakeholder engagement challenges are key attributes we are looking for. Agility and adaptability in rapidly changing work environments, as well as the ability to handle ambiguity and diverse stakeholder needs, are essential qualities for this role. Proficiency in SQL is required, and experience in broader data fields such as data and solution architecture and data analytics is desirable. Experience in Data Catalogue/Glossary management and knowledge of tools like Informatica Axon, EDC, and Data Privacy Management would be advantageous for this position.,

As the COE Solution Development Lead at Teradata, you will be a key thought leader responsible for overseeing the detailed design, development, and maintenance of complex data and analytic solutions. Your role will involve utilizing strong technical and project management skills, as well as team building and mentoring capabilities. You will need to have a deep understanding of Teradata's Solutions Strategy, Technology, Data Architecture, and the partner engagement model. Reporting directly to Teradata's Head of Solution COE, you will play a crucial role in leading a team that develops scalable, efficient, and innovative data and analytics solutions to address complex business problems. Your key responsibilities will include leading the end-to-end process of solution development, designing comprehensive solution architectures, ensuring the flexibility for integration of various data sources and platforms, implementing best practices in data analytics solutions, collaborating with senior leadership, and mentoring a team of professionals to foster a culture of innovation and continuous learning. Additionally, you will work towards delivering solutions on time and within budget, facilitating knowledge sharing across teams, and ensuring that data solutions are scalable, secure, and aligned with the organization's overall technological roadmap. You will collaborate with the COE Solutions lead to transform conceptual solutions into detailed designs and lead a team of Data scientists, Solution engineers, Data engineers, and Software engineers. Furthermore, you will work closely with product development, legal, IT, and business teams to ensure seamless integration of data analytics solutions and the protection of related IP. To qualify for this role, you should have a Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, with a preference for an MS or MBA. You should also possess over 15 years of experience in IT, with at least 10 years in data & analytics solution development and 4+ years in a leadership or senior management position. Along with a proven track record in developing data-driven solutions, you should have experience working with cross-functional teams and a strong understanding of emerging trends in data analytics technologies. We believe you will thrive at Teradata due to our people-first culture, flexible work model, focus on well-being, and commitment to Diversity, Equity, and Inclusion. If you are a collaborative, analytical, and innovative professional with excellent communication skills and a passion for data analytics, we invite you to join us in solving business challenges and driving enterprise analytics forward.,

AI-Enabled Solution Architect - Data Modernization, GenAI & Business Impact We are seeking a visionary AI-Enabled Solution Architect to help lead the regional design and delivery of next-generation, AI-native data and analytics solutions. This role is central to our transformation team as we embed Generative AI, Agentic Intelligence, and modern data engineering into the core of how we operate and deliver value to our clients. Youll not only shape cutting-edge architectures but also lead and inspire multidisciplinary teams, helping to develop the next generation of technical leaders who carry our depth of expertise into complex client environments. You'll operate at the intersection of technology and business, translating emerging capabilities into practical, high-impact solutions. Job Responsibilities 1 Architect scalable, modular platforms that integrate modern data engineering with GenAI and Agentic AI capabilities. 2 Design and build end-to-end ingestion, transformation, and classification pipelines across structured and semi-structured data sources (e.g., Excel, JSON). 3 Implement RAG (Retrieval-Augmented Generation) pipelines using intelligent chunking strategies and multi-modal retrieval (e.g., BM25, dense vector search, graph-based, structured data, and vision-based inputs). 4 Drive data quality through embedded validation, monitoring, and automated reporting frameworks. 5 Enable in-context learning and enterprise-scale agent design using different prompting techniques (like ReAct, Tree-of-Thoughts, Reflexion, or hybrid reasoning patterns) for automation, insight generation, and decision support. 6 Lead exploratory data analysis (EDA), dynamic source classification, and ML model integration for advanced analytical and operational use cases. 7 Mentor and grow a high-performing team of architects, engineers, and analysts—fostering innovation, cross-functional collaboration, and delivery excellence. 8 Champion AI and data architecture as strategic enablers of business transformation—linking technology decisions directly to measurable client outcomes. 9 Team collaboration: Collaborate effectively with cross-functional teams to understand their data requirements and provide data modelling expertise as needed. . Requirements : Programming & APIs: PySpark, Python, FastAPI, FastMCP, SQL, OAuth2 GenAI & Agentic Tools: RAGAS, Langfuse, LangGraph, Llamaindex, Vector Databases (FAISS, PGVector, Weaviate, AWS Bedrock, Azure AI Search) AI Architectures: Retrieval-Augmented Generation, In-Context Learning, Agent Design, Function Calling, LLM Fine-Tuning & Adaptation Strategies Data Engineering: Real-time ingestion pipelines, transformation logic, schema evolution, semi-structured data workflows Data Analytics & Quality: Exploratory Data Analysis, advanced classification, data quality reporting and observability Enterprise Integration: Secure API architecture, user feedback loops, instrumentation with Langfuse for traceability, MLOps and LLMOps frameworks to operationalise and govern ML/LLM pipelines across environments Excellent analytical and problem-solving skills , with the ability to understand complex data relationships. Strong communication and interpersonal skills , with the ability to collaborate effectively with cross-functional teams and present technical concepts to non-technical stakeholders. Prior experience in mentoring and guiding junior team members is a plus . Ideal Background Proven experience designing and scaling GenAI-enabled and data-driven architectures. Strong grounding in software engineering principles and AI/ML enablement. Demonstrated ability to lead, mentor, and grow cross-functional technical teams. Track record of delivering innovative, scalable solutions that drive clear business value. Passion for shaping intelligent systems and applying emerging technologies to solve real-world challenges. ABOUT US: OUR WORKPLACE IS FUN AND FAST-PACED : We are Cervello. We believe in the power of connected data. We are laser focused on helping organizations harness the interconnectedness of digital, data and decision-making. We are problem solvers and builders focused on helping our clients win with data. Our culture is cool and innovative. Our environment is casual and conducive to collaboration and problem solving.We take our work seriously but not ourselves.It’s the perfect balance of freedom and accountability. If you want to be part of something great – join us! Equal Employment Opportunity and Nondiscrimination Cervello prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. Cervello aims to build diverse capabilities to help our clients solve their most mission critical problems. Cervello is committed to building a diverse, unbiased, and inclusive workforce. Cervello is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information, or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply. Revised 23/7/2025

You will be joining M&G Global Services Private Limited, a subsidiary of the M&G plc group of companies, with a strong focus on providing value-added services since 2003. At M&G, the purpose is to instill real confidence in individuals to invest their money wisely. With a history spanning over 170 years, M&G offers a wide array of financial products and services through Asset Management, Life, and Wealth sectors, all working together to ensure excellent financial outcomes for clients and shareholders. M&G Global Services has evolved into a significant hub of capabilities, contributing significantly to M&G plc's vision of becoming the leading savings and investments company globally. The diverse range of services offered includes Digital Services, Business Transformation, Management Consulting & Strategy, Finance, Actuarial, Quants, Research, Information Technology, Customer Service, Risk & Compliance, and Audit, presenting exciting career growth prospects for employees. As a key member of the team, your primary role will revolve around driving process transformation initiatives within the Asset Management business. The main goal is to enhance process efficiency and effectiveness, leading to improved services for customers, enhanced controls, increased employee satisfaction, and cost reduction. You will be responsible for identifying, developing, planning, managing, and scaling up business process improvement and automation projects, ensuring the successful implementation of planned deliverables. Collaboration with sponsors and stakeholders to identify improvement opportunities, defining outcomes, timeframes, and financial aspects will be a crucial part of your responsibilities. Additionally, you will oversee program outcomes aligning with business objectives, including managing program budgets and owning the technical deliverables of the team. Your role also involves supporting the development of intelligent automation services for M&G Asset Management. Key Responsibilities: - Leading process transformation and intelligent automation programs from initiation to implementation to achieve desired business outcomes. - Ensuring the success of process improvement initiatives across the organization. - Engaging leaders and stakeholders to create an informed workforce aligned with business goals. - Executing change management programs and evaluating intelligent automation capabilities. - Monitoring project risks, providing accurate MIS for stakeholders, and acting as the primary contact for process excellence and intelligent automation matters. Key Stakeholder Management: Internal: M&G Asset Management leadership, M&G Plc Support Groups External: Third-Party teams Requirements: - Strong experience in process transformation within the asset management domain. - Proven track record of managing large programs and delivering impactful projects with an intelligent automation focus. - Extensive experience in consulting engagements and process improvement projects. - Proficiency in process excellence methodologies like Lean Six Sigma and Design Thinking. - Ability to manage cross-functional teams, engage with senior stakeholders, and lead change effectively. - Familiarity with automation platforms, low-code products, and emerging trends in the automation landscape. - Strong organizational, interpersonal, and leadership skills. Desirable Skills: - Experience with automation platforms such as BPM and OCR/Extraction engines. - Knowledge of support tools like Service Now, JIRA, Confluence, and Azure DevOps. Experience: - 15+ years of corporate experience, particularly in asset management firms. - 7+ years of project management and agile coaching experience. - 5+ years of leading process improvement and automation projects in Asset Management. - Exposure to fast-paced agile environments and cross-functional teams.,

You will be joining Cliff IT Solutions as a Sr. Data Modeler & Data Analyst located in Hyderabad. Your primary responsibility will be to design and implement data models, ensure data quality, and establish robust data governance frameworks. This full-time on-site role involves creating data architecture, managing Extract Transform Load (ETL) processes, and collaborating with stakeholders to enhance data systems. Your expertise in data management principles will be crucial in improving information systems effectively. To excel in this role, you should possess skills in Data Governance, Data Quality, Data Modeling, and Data Architecture. Experience with Extract Transform Load (ETL) processes is essential, along with proficiency in analytical problem-solving. Strong communication and teamwork abilities are required to engage with stakeholders effectively. A degree in Computer Science, Information Technology, or related fields is preferred. Additional experience in the Identity Management and Security Governance domain, as well as with tools like Informatica, Teradata, Axiom, SQL, and Databricks, will be advantageous.,

As a Data & Integration Architect at Techwave, you will play a key role in designing, implementing, and optimizing data management and integration frameworks. With over 12 years of experience in the field, you will be responsible for architecting scalable, secure, and high-performance solutions that align with the enterprise-wide data strategy and business objectives. Your primary responsibilities will include developing ETL/ELT pipelines, designing real-time and batch data integration solutions, defining data governance policies, and optimizing data storage and retrieval performance. You will collaborate closely with clients, business teams, and developers to translate business needs into technical solutions, lead data migration projects, and stay updated with the latest data technologies and best practices. To excel in this role, you should have a Bachelors or Masters degree in Computer Science or a related field, along with 7+ years of experience in data architecture, integration, and enterprise data management. You must possess expertise in data modeling, database design, and data warehousing, as well as strong knowledge of ETL/ELT tools, API design, and cloud data platforms such as AWS, Azure, and Google Cloud. Additionally, proficiency in big data technologies, event-driven architectures, data governance frameworks, containerization, orchestration, CI/CD pipelines, and problem-solving skills will be essential for success in this position. If you are a proactive problem solver with excellent analytical and communication skills, we invite you to join our team of dreamers and doers at Techwave and be part of our journey towards pushing the boundaries of what's possible. Apply now at https://techwave.net/join-us/ to explore this exciting opportunity.,

The Data Architecture Specialist Join our team of data architects who design and execute industry-relevant reinventions that allow organizations to realize exceptional business value from technology. Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Data Architecture | Level: Sr Manager | Location: Bangalore/Mumbai/Pune/Gurugram | Years of Exp: 15 to 21 years Explore an Exciting Career at Accenture Are you a problem solver and passionate about Tech-driven transformation Do you want to design, build and implement strategies to enhance business architecture performance Are you passionate about being part of an inclusive, diverse and collaborative culture Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory team helps clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing Technology Strategy and Advisory team, you will work closely with our clients to unlock the value of data, architecture, and AI to drive business agility and transformation to a real-time enterprise. As a leading Data Architecture Consulting professional, you will work on the following areas: - Business Problem Data Analysis: Identifying, assessing, and solving complex business problems using in-depth evaluation of variable factors. - Technology-driven journey intersection: Helping clients design, architect and scale their journey to new technology-driven growth. - Architecture Transformation: Helping solve key business problems by enabling an architecture transformation, from the current state to a to-be enterprise environment. - High Performance Growth and Innovation: Assisting our clients to build the required capabilities for growth and innovation to sustain high performance. Bring your best skills forward to excel at the role: - Present data strategy and develop technology solutions and value adding propositions to drive C-suite/senior leadership level discussions. - Capitalize on in-depth understanding of the latest technologies such as big data, data integration, data governance, data quality, cloud platforms, data modelling tools, data warehouse and hosting environments. - Lead proof of concept and/or pilot implementations and defining the plan to scale implementations across multiple technology domains. - Maximize subject matter expertise on data-led projects and play a key role in pitches where data-based RFP responses are discussed. - Demonstrate ability to work creatively and analytically in a problem-solving environment. - Use knowledge of key value drivers of a business, how they impact the scope and approach of the engagement. - Develop client handling skills to develop, manage and deepen relationships with key stakeholders. - Leverage team building skills to collaborate, work and motivate teams with diverse skills and experience to achieve goals. - Build on leadership skills along with strong communication, problem solving, organizational and delegation skills to nurture and inspire team members. Your experience counts! - MBA from a tier 1 institute. - Your prior experience in one or more of the following is important: - Assessment of Information Strategy Maturity and evaluation of new IT potential with a focus on data monetization, platforms, customer 360 view and analytics strategy. - Defining data-based strategy and establishing to-be Information Architecture landscape. - Design of cutting-edge solutions using cloud platforms like AWS, Azure, GCP, etc. and conceptualization of Data models. - Establish framework for effective Data Governance and define data ownership, standards, policies, and associated processes. - Product/ Framework/ Tools evaluation: Collaborating with business experts for business understanding, work with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. - Evaluate existing products and frameworks and develop options for proposed solutions. - Practical industry expertise: The areas of Financial Services, Retail, Telecommunications, Life Sciences, Mining and Resources are of interest but experience in equivalent domains is also welcomed. Consultants should understand the key technology trends in their domain and the related business implications.,

As an Enterprise Architect & AI Expert, your role will involve defining and maintaining the enterprise architecture framework, standards, and governance. You will align IT strategy with business goals to ensure architectural integrity across systems and platforms. Leading the development of roadmaps for cloud, data, application, and infrastructure architectures will be a key responsibility. It will also be crucial to evaluate and select technologies, platforms, and tools that align with enterprise goals. You will be responsible for designing and implementing AI/ML solutions to solve complex business problems. Leading AI initiatives such as NLP, computer vision, predictive analytics, and generative AI will be part of your duties. Collaborating with data scientists, engineers, and business stakeholders to deploy AI models at scale will be essential. Ensuring ethical AI practices, data governance, and compliance with regulatory standards will also be critical. In terms of leadership and collaboration, you will act as a strategic advisor to senior leadership on technology trends and innovation. Mentoring cross-functional teams, promoting architectural best practices, and facilitating enterprise-wide workshops and architecture review boards will be part of your role. To qualify for this position, you should have a Bachelors or Masters degree in Computer Science, Engineering, or a related field. You should possess 14+ years of experience in enterprise architecture, with at least 3 years in AI/ML domains. Proven experience with cloud platforms such as AWS, Azure, GCP, microservices, and API management is required. Strong knowledge of AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps practices is essential. Familiarity with data architecture, data lakes, and real-time analytics platforms is also expected. Excellent communication, leadership, and stakeholder management skills are necessary for this role. Mandatory skills for this position include experience in designing GenAI and RAG architectures, familiarity with AWS, Vector DB - Milvus (preferred), OpenAI or Claude, LangChain, and LlamaIndex. Thank you for considering this opportunity. Siva,

As a technical leader at Sun Life Global Solutions (SLGS), you will play a crucial role in shaping the technical strategy and driving innovation to support our mission of helping clients achieve lifetime financial security and live healthier lives. You will collaborate with architects to make build vs. buy decisions and create technical roadmaps. Evaluating and selecting appropriate technology stacks, platforms, and vendors will be key responsibilities, including web application frameworks and cloud providers for solution development. Your involvement in team ceremonies and removing technical impediments will be essential to ensure project success. You will be responsible for owning the success of foundational enablers, championing research and innovation, and leading scaled agile ceremonies and activities. Collaborating with the Platform Owner, you will prioritize technical capabilities and present platform delivery metrics to executive audiences. Working closely with other Technical Leads, you will create and maintain the technical roadmap for products and services within the platform. The preferred candidate profile for this role includes a total work experience of 12-19 years, a B.E./B.Tech or equivalent engineering background, and a master's degree or equivalent experience in Marketing, Business, or Finance. You should have 15+ years of experience in technical architecture, solution design, and platform engineering. Strong expertise in MDM, Data Quality, and Data Governance practices, including tools like Informatica MDM SaaS, Informatica Data Quality, and Collibra, will be advantageous. Additionally, experience with major cloud platforms and data tools such as AWS, Microsoft Azure, Kafka, CDC, Tableau, and Data virtualization tools is preferred. A solid background in ETL and BI solution development, familiarity with agile methodologies, and knowledge of industry standards and regulations related to data management (e.g., HIPAA, PCI-DSS, GDPR) are desired qualifications for this role. Your technical acumen in areas like Data Architecture, SQL, NoSQL, REST API, data security, and AI concepts will be essential for success in this position.,

As an IT Solutions Consulting Analyst (API Customer Support Engineer) at DHL IT Services, you will be part of a global team of over 5600 IT professionals dedicated to connecting people and driving the global economy through innovative and sustainable digital solutions. Your role will involve providing best-in-class support to both internal and external customers and business partners across the group, ensuring seamless connectivity and exceptional customer experiences. In this position, you will play a crucial role in enabling, supporting, and guiding customers using Group APIs, which serve as the backbone of the company's operations. Your responsibilities will include offering reactive and proactive support, maintaining documentation for continuous improvement, collaborating effectively with development teams, and communicating efficiently with customers and API product owners. Your input on enhancing product roadmaps, processes, service quality, security, and API design will be highly valued within the support framework. Working within API development teams, you will be exposed to modern product development methodologies with a focus on micro-service architecture, cloud technologies, and creating products that deliver tangible value. Your leadership skills will be essential in guiding a small team of support engineers, promoting best practices, ensuring quality, and fostering long-term sustainability. To excel in this role, you should possess a university degree or equivalent qualification, preferably in information technology or a related field. Proficiency in English is essential, while knowledge of German is advantageous. Excellent communication and analytical skills, along with a customer-centric mindset, are key traits for success. Familiarity with IT architecture, data architecture, API standards, cloud computing, automation, programming languages, and IT product management will be beneficial, as well as a general understanding of logistics industry terminology and standards. Practical knowledge of API concepts, architecture, and customer support practices will be valuable assets in this role. Your passion for technology and communication will enable you to work independently, prioritize tasks effectively, and collaborate with multinational teams. Strong proficiency in spoken and written English is crucial for seamless cross-region collaboration. In return for your contributions, DHL IT Services offers a range of benefits, including hybrid work arrangements, generous annual leave, comprehensive medical insurance coverage, and in-house training programs for professional and technical certifications. Join us on this exciting journey to shape the future of IT solutions and customer support at one of the world's largest logistics companies.,

Job Title: Network Architect Work Location: Bangalore, KA Skills Required: Data Architecture and Modelling. Experience Range in Required Skills: 20 Years and above. Job Description: Velocloud SDWAN, MPLS, BGP, Global WAN routing, Cloud Connect (AWS, Azure). Design and implement Cisco Application Centric Infrastructure (ACI) solutions. Define ACI architecture and ensure seamless integration with existing network environments. Optimize network performance, scalability, and security. Collaborate with cross-functional teams to deliver efficient and secure network solutions. Strong expertise in Cisco ACI, SDN, and data center networking. Collaborate with cross-functional teams to deliver efficient and secure network solutions. Strong expertise in Cisco ACI, SDN, and data center networking. Essential Skills: Velocloud SDWAN, MPLS, BGP, Global WAN routing, Cloud Connect (AWS, Azure). Design and implement Cisco Application Centric Infrastructure (ACI) solutions. Define ACI architecture and ensure seamless integration with existing network environments. Optimize network performance, scalability, and security.

5+yrs experience in Development of large Java/J2EE applications Well versed with SDLC or Support processes such as incident management, problem management, Major incident process etc Sun/Oracle Certified Java/J2EE expert ITIL certification will be added advantage Must have handled complex application debugging / impact analysis / root cause analysis etc. Must have handled requirement analysis / design etc. Must have knowledge experience of change release management Extensive technical experience and development expertise in Core Java, J2EE, JSP, Servlets, Struts, Webservices, Spring, Hibernate, Java Script, JQuery and AJAX. Possess advanced knowledge of object-oriented design and development and the J2EE framework and data architectures. Experience working with and applying Design patterns to solve problems. Should be able to guide and mentor team members Demonstrate strong written and oral communication skills. Candidate with banking domain experience is preferred but not mandatory Skill/ Technology: Bankingcore javaJ2eeJava Technical LeadMicroservices

Acuity Knowledge Partners (Acuity) is a leading provider of bespoke research, analytics and technology solutions to the financial services sector, including asset managers, corporate and investment banks, private equity and venture capital firms, hedge funds and consulting firms. Its global network of over 6,000 analysts and industry experts, combined with proprietary technology, supports more than 600 financial institutions and consulting companies to operate more efficiently and unlock their human capital, driving revenue higher and transforming operations. Acuity is headquartered in London and operates from 10 locations worldwide. The company fosters a diverse, equitable and inclusive work environment, nurturing talent, regardless of race, gender, ethnicity or sexual orientation. Acuity was established as a separate business from Moodys Corporation in 2019, following its acquisition by Equistone Partners Europe (Equistone). In January 2023, funds advised by global private equity firm Permira acquired a majority stake in the business from Equistone, which remains invested as a minority shareholder. For more information, visit www.acuitykp.com Position Title- Associate Director (Senior Architect – Data) Department-IT Location- Gurgaon/ Bangalore Job Summary The Enterprise Data Architect will enhance the company's strategic use of data by designing, developing, and implementing data models for enterprise applications and systems at conceptual, logical, business area, and application layers. This role advocates data modeling methodologies and best practices. We seek a skilled Data Architect with deep knowledge of data architecture principles, extensive data modeling experience, and the ability to create scalable data solutions. Responsibilities include developing and maintaining enterprise data architecture, ensuring data integrity, interoperability, security, and availability, with a focus on ongoing digital transformation projects. Key Responsibilities 1. Strategy & Planning o Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders. o Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap. o Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity. o Establish methods and procedures for tracking data 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 architectures are aligned with regulatory compliance. o Develop a comprehensive data strategy in collaboration with different stakeholders that aligns with the transformational projects’ goals. o Ensure effective data management throughout the project lifecycle. 2. Acquisition & Deployment o Ensure the success of enterprise-level application rollouts (e.g. ERP, CRM, HCM, FP&A, etc.) Liaise with vendors and service providers to select the products or services that best meet company goals 3. Operational Management o Assess and determine governance, stewardship, and frameworks for managing data across the organization. o Develop and promote data management methodologies and standards. o Document information products from business processes and create data entities o Create entity relationship diagrams to show the digital thread across the value streams and enterprise o Create data normalization across all systems and data base to ensure there is common definition of data entities across the enterprise o Document enterprise reporting needs develop the data strategy to enable single source of truth for all reporting data o Address the regulatory compliance requirements of each country and ensure our data is secure and compliant o Select and implement the appropriate tools, software, applications, and systems to support data technology goals. o Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. o Collaborate with project managers and business unit leaders for all projects involving enterprise data. o Address data-related problems regarding systems integration, compatibility, and multiple-platform integration. o Act as a leader and advocate of data management, including coaching, training, and career development to staff. o Develop and implement key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture. o Document the data architecture and environment to maintain a current and accurate view of the larger data picture. o Identify and develop opportunities for data reuse, migration, or retirement. 4. Data Architecture Design: o Develop and maintain the enterprise data architecture, including data models, databases, data warehouses, and data lakes. o Design and implement scalable, high-performance data solutions that meet business requirements. 5. Data Governance: o Establish and enforce data governance policies and procedures as agreed with stakeholders. o Maintain data integrity, quality, and security within Finance, HR and other such enterprise systems. 6. Data Migration: o Oversee the data migration process from legacy systems to the new systems being put in place. o Define & Manage data mappings, cleansing, transformation, and validation to ensure accuracy and completeness. 7. Master Data Management: o Devise processes to manage master data (e.g., customer, vendor, product information) to ensure consistency and accuracy across enterprise systems and business processes. o Provide data management (create, update and delimit) methods to ensure master data is governed 8. Stakeholder Collaboration: o Collaborate with various stakeholders, including business users, other system vendors, and stakeholders to understand data requirements. o Ensure the enterprise system meets the organization's data needs. 9. Training and Support: o Provide training and support to end-users on data entry, retrieval, and reporting within the candidate enterprise systems. o Promote user adoption and proper use of data. 10 Data Quality Assurance: o Implement data quality assurance measures to identify and correct data issues. o Ensure the Oracle Fusion and other enterprise systems contain reliable and up-to-date information. 11. Reporting and Analytics: o Facilitate the development of reporting and analytics capabilities within the Oracle Fusion and other systems o Enable data-driven decision-making through robust data analysis. 1. Continuous Improvement: o Continuously monitor and improve data processes and the Oracle Fusion and other system's data capabilities. o 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.) o 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. Key Competencies Qualifications: • Education: o 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

Role: Tech Lead Data Engineer Location: Bengaluru What you ll do We re MiQ, a global programmatic media partner for marketers and agencies. Our people are at the heart of everything we do, and as a Tech Lead Data Engineering, you ll be right at the center of it. This role combines technical excellence, hands-on problem-solving, and engineering leadership to help us build optimized, scalable, and cost-efficient data products and pipelines across our platforms. You will lead by example, guiding a team of data engineers to build and maintain robust data systems while collaborating with cross-functional teams to deliver high-impact business outcomes. This role goes beyond writing code you ll be setting standards, making architectural decisions, mentoring team members, and driving technical innovation across the organization. Who are your stakeholders You ll work closely with: Data Engineering Team members along with Principal engineers and Data Architects Product Managers and Product Leads across global business units Engineering managers and cross-team leads (DevOps, Data Science, Analytics) Internal data consumers like Analysts, Business Intelligence, and ML teams Platform teams responsible for cost optimization and infrastructure scalability What you ll bring 6+ years of experience in Data Engineering, with 2+ years in a technical or team leadership role Strong expertise in data architecture, data modeling, distributed computing, and modern data platforms Proficiency with big data ecosystems like Spark, Databricks, Kafka, Presto , and Delta Lake Strong coding skills in Python, Scala or Java , and a solid understanding of software engineering principles Expertise in SQL/NoSQL , data & delta lakes , and cloud-native services (preferably AWS or GCP ) Proven track record in building production-grade ETL pipelines and event-driven systems Experience leading POCs, evaluating tools, and setting engineering best practices across teams Familiarity with DataOps , DevOps and CI/CD , including tools for monitoring, alerting, and observability A passion for mentoring and developing engineers, and a love for collaborative problem-solving We ve highlighted some key skills, experience and requirements for this role. But please don t worry if you don t meet every single one. Our talent team strives to find the best people. They might see something in your background that s a fit for this role, or another opportunity at MiQ. If you have a passion for the role, please still apply. What impact will you create As a Tech Lead, your mission is to set direction, not just velocity . You will: Drive the architectural vision for scalable, cost-optimized, and performant data systems Design, review, and guide the implementation of complex pipelines and data products Introduce and champion engineering best practices, design patterns, and quality standards Act as a force multiplier by mentoring engineers and helping them level up Represent the team in technical forums and work closely with leadership on strategic initiatives Bring a product mindset to engineering and advocate for the why as much as the how Keep your hands dirty build things, break things (responsibly), and help your team learn from both What s in it for you At MiQ, you ll be empowered to influence technical strategy at a global scale. You ll be joining a diverse and dynamic team in our Center of Excellence, where innovation and experimentation are encouraged and celebrated. Your work will not only power our platform but shape the future of data-driven programmatic advertising. You ll be part of a culture that champions curiosity, autonomy, and continuous learning while having a lot of fun doing it. Values Our values are so much more than statements . They unite MiQers in every corner of the world. They shape the way we work and the decisions we make. And they inspire us to stay true to ourselves and to aim for better. Our values are there to be embraced by everyone, so that we naturally live and breathe them. Just like inclusivity, our values flow through everything we do - no matter how big or small. We do what we love - Passion We figure it out - Determination We anticipate the unexpected - Agility We always unite - Unite We dare to be unconventional - Courage Benefits Every region and office have specific perks and benefits, but every person joining MiQ can expect: A hybrid work environment New hire orientation with job specific onboarding and training Internal and global mobility opportunities Competitive healthcare benefits Bonus and performance incentives Generous annual PTO paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion initiatives. Employee resource groups designed to connect people across all MiQ regions, drive action, and support our communities. Apply today! Equal Opportunity Employer

Job Summary 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. Leading Junior & Intermediate Developers Primary Skills: Net/C# (SOLID, Webservice/Microservices) Backend (C#, SQL,Web services calls) SQL Server/Cosmos DB Cloud(Azure) Visual Studio, Git DevOps(Branching, Build/Release pipeline,Jfrog, SonarQube, AppInsight,LogInsight) Agile/SAFe(process, ceremonies) Testing (Unit testing/MOQ/Subsitute/etc) Minimum 7 + years as working Technical Development Lead Secondary Skills: Design Thinking, Coaching of Junior developers. Qualifications: Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

Senior Salesforce CPQ Developer/Entrust/Hemachandran We are looking for an experienced Salesforce CPQ Developer to design, build, and optimize CPQ (Configure, Price, Quote) solutions within the Salesforce ecosystem. The ideal candidate will bring deep technical knowledge of Salesforce CPQ (formerly Steelbrick), a solid understanding of business processes, and hands-on experience implementing complex pricing and quoting functionalities in enterprise environments. Lead the design and implementation of Salesforce CPQ solutions, including product configurations, pricing rules, discount schedules, quote templates, and approval processes. Develop and maintain scalable, reusable components and integrations using Apex, Visualforce, Lightning Web Components (LWC) , and CPQ-specific customizations . Translate business requirements into technical specifications, ensuring alignment with Salesforce best practices. Create and maintain CPQ data models, workflows, and validation rules to enforce business logic. Collaborate with cross-functional teams (sales, finance, operations, IT) to streamline the quote-to-cash process. Integrate Salesforce CPQ with third-party systems (e.g., ERP, billing platforms) via REST/SOAP APIs and middleware. Perform data migration, sandbox refreshes, and deployment activities using SFDX, ANT, or other tools. Provide technical guidance and mentorship to junior developers or admins on CPQ development. Support UAT, troubleshoot issues, and implement enhancements post-go-live Required Qualifications: 7 12 years of overall experience in Salesforce development. Minimum 4 years of hands-on experience with Salesforce CPQ Strong command of CPQ functionalities , including: Product Bundling Pricing and Discount Schedules Advanced Approvals Quote Templates Contracting and Renewals Expertise in Apex, SOQL, JavaScript, LWC , and Salesforce data architecture. Proficiency in DevOps tools (e.g., Git, Bitbucket, Gearset, Copado, Jenkins). Experience with Agile/Scrum development practices. Salesforce CPQ Specialist certification (highly preferred). Salesforce Platform Developer I (required); Platform Developer II (preferred). Preferred Qualifications: Experience with Salesforce Billing, Revenue Cloud, or integration with tools like Zuora, NetSuite, or SAP. Knowledge of Salesforce Shield, Experience Cloud, or other advanced features. Prior work on global rollouts or multi-org environments. Familiarity with Salesforce Flow, Process Builder, and declarative automation tools. Salesforce Cpq

Title : Senior Frontend Engineer Location: Mumbai, India ( Andheri East) ABOUT US Liberis is on a mission to supercharge the power of small businesses all over the world - delivering the financial products they need to thrive through a network of global partners. Before all else, Liberis is a technology company, connecting finance with small businesses. We use data to help partners understand their customers real time needs and tech to offer tailor-made funding and financial products. Empowering small businesses to grow and keep their independent spirit alive is central to our vision. Up to now we have funded almost 50,000 small businesses with over $3bn - but we believe there is much more to be done. Liberis and Blenheim Chalcot Liberis was founded and is backed by Blenheim Chalcot, the UKs leading digital venture builder. This powerful partnership provides us with a unique advantage, combining our fintech agility with the strategic support and deep expertise of a company renowned for building and scaling disruptive digital businesses. As a key part of the Blenheim Chalcot portfolio, we benefit from a vibrant ecosystem of collaboration and innovation, placing us at the forefront of the embedded finance revolution. The team We are the Engineering team. We exist to build the products and automation that will drive Liberis exponential growth in the embedded finance market. There are 90 of us based across the UK & Mumbai, we split ourselves into domain aligned teams working on a specific part of our product offering: Customer Experience Platform, Partner Experience, Internal Tooling, Funding, Decisioning & Pricing; as well as across a few supporting functions: DevEx, Data, Architecture, & support. Our mission is to build composable, modular technology platforms that will close the global SME funding gap. We are collaborative (with each other, and with our users), and we value moving fast by fixing things. THE ROLE You are a hands-on Senior Frontend Software Engineer with 7+ years of work experience, passionate about creating exceptional and intuitive user experiences in fast-paced, highly collaborative startups. You are an expert in modern frontend technologies, responsible for the entire frontend lifecycle, from concept and architecture to deployment. You are a master of Next.js and React, with a deep understanding of their best practices, and will take ownership of the frontend architecture and drive technical decisions. You are comfortable working in the early stages of defining and solving business problems, turning complex requirements into elegant, user-centric solutions. You value collaboration and responding to change over negotiation and rigidly following a plan. You can lead and mentor a team of top-notch developers, take care of their growth roadmap, and manage stakeholder expectations like a breeze while making decisions independently. You know how to contribute to a high-performing team and always optimize for team performance over individual performance. What you ll be doing Lead the development of responsive, accessible, and highly performant user-facing features using Next.js and React. Architect and build reusable, high-quality frontend components and libraries for future use. Work in collaborative, customer-obsessed teams to build fantastic experiences for internal and external users. Optimize applications for maximum speed, scalability, and cross-browser compatibility. Champion frontend best practices, including writing clean, maintainable, and well-documented code. Establish and maintain high standards for code quality through code reviews, automated testing, and other quality assurances. Take part in our entire software lifecycle, from ideation, to building, to maintenance, to collecting feedback and improving. Mentor junior engineers. Contribute to our distributed, global architecture while defending our quality and performance requirements. What we think you ll need Extensive professional experience in frontend development, with exceptional proficiency in Next.js, React, and modern JavaScript (ES6+). A strong portfolio demonstrating your experience in building complex, scalable, and user-centric web applications. Deep understanding of HTML5, CSS3, and core web concepts. Experience with modern frontend development tools, including bundlers (e.g., Webpack), package managers, and testing frameworks (e.g., Jest, Cypress). An understanding of working with Agile methods, such as Extreme Programming, Kanban, or Scrum. Proven experience mentoring more junior team members. Resilience in early-stage business situations, where requirements are evolving and experimentation is required. A willingness to learn our broader tech stack, including C# .net and GCP, to better collaborate with backend teams. Bonus points if Experience building data-heavy products e.g. ETL pipelines, event streamlining, or data mesh approaches. Experience with cloud technologies (we mostly use Azure and GCP). Experience using highly collaborative methods such as ensemble, mob, or pair programming. A strong commitment to Test-Driven Development. Previous experience in the financial software industry. Next Steps If this opportunity feels like the right fit for your next career move, we d love to hear from you! Even if you don t meet every requirement, don t hesitate to apply

Req ID: 326946 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 Data Engineer to join our team in Bangalore, Karn taka (IN-KA), India (IN). Job Duties: Design, implement, and maintain data pipelines and data integration solutions using Azure Synapse Develop and optimize data models and data storage solutions on Azure Collaborate with data scientists and analysts to implement data processing and data transformation tasks. Ensure data quality and integrity through data validation and cleansing methodologies. Monitor and troubleshoot data pipelines to identify and resolve performance issues. Collaborate with cross-functional teams to understand and prioritize data requirements. Stay up-to-date with the latest trends and technologies in data engineering and Azure services. Minimum Skills Required: Bachelor s degree in IT, computer science, computer engineering, or similar 8+ years of experience in Data Engineering. Microsoft Azure Synapse Analytics experience is essential. (Azure Data Factory, Dedicated SQL Pool, Lake Database, Azure Storage) End-to-end Data Warehouse experience: Ingestion, ETL, big data pipelines, data architecture, message queuing, BI/Reporting, and Data Security. Advanced SQL/relational database knowledge and query authoring. Demonstrated experience in design and delivering data platforms for Business Intelligence and Data Warehouse. Strong skills in handling and analysing complex, high volume data with excellent attention in details. Knowledge of data modelling and data warehousing concepts, such as DataVault or 3NF. Experience with Data Governance (Quality, Lineage, Data dictionary, and Security). Proficiency in programming languages such as Python/Scala or equivalent for data engineering tasks. Familiar with Agile methodology and Agile working environment. Ability to work alone with POs, BAs, Architects.

Career Category Engineering Job Description [Role Name : IS Architecture] Job Posting Title: Data Architect Workday Job Profile : Principal IS Architect Department Name: Digital, Technology & Innovation Role GCF: 06A ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases, and make people s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what s known today. ABOUT THE ROLE Role Description: The role is responsible for developing and maintaining the data architecture of the Enterprise Data Fabric. Data Architecture includes the activities required for data flow design, data modeling, physical data design, query performance optimization. The Data Architect is a senior-level position responsible for developing business information models by studying the business, our data, and the industry. This role involves creating data models to realize a connected data ecosystem that empowers consumers. The Data Architect drives cross-functional data interoperability, enables efficient decision-making, and supports AI usage of Foundational Data. This role will manage a team of Data Modelers. Roles & Responsibilities: Provide oversight to data modeling team members. Develop and maintain conceptual logical, and physical data models and to support business needs Establish and enforce data standards, governance policies, and best practices Design and manage metadata structures to enhance information retrieval and usability Maintain comprehensive documentation of the architecture, including principles, standards, and models Evaluate and recommend technologies and tools that best fit the solution requirements Evaluate emerging technologies and assess their potential impact. Drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency Basic Qualifications and Experience: [GCF Level 6A] Doctorate Degree and 2 years of experience in Computer Science, IT or related field OR Master s degree with 8 - 10 years of experience in Computer Science, IT or related field OR Bachelor s degree with 10 - 14 years of experience in Computer Science, IT or related field OR Diploma with 14 - 18 years of experience in Computer Science, IT or related field Functional Skills: Must-Have Skills : Data Modeling: Expert in creating conceptual, logical, and physical data models to represent information structures. Ability to interview and communicate with business Subject Matter experts to develop data models that are useful for their analysis needs. Metadata Management : Knowledge of metadata standards, taxonomies, and ontologies to ensure data consistency and quality. Information Governance: Familiarity with policies and procedures for managing information assets, including security, privacy, and compliance. Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), performance tuning on big data processing Good-to-Have Skills: Experience with Graph technologies such as Stardog, Allegrograph, Marklogic Professional Certifications Certifications in Databricks are desired Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated awareness of presentation skills Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. EQUAL OPPORTUNITY STATEMENT We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. .

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 Mastery of Core Java concepts and Java EE. Extensive experience with Spring and Spring Boot. Expert with CI/CD code automation and Azure DevOps Good experience with GCP or Openshift Expert with Structured Query Language (SQL) Experience using Angular Strong understanding of software architecture and design principles. Ability to design scalable, maintainable, and efficient Java & .Net applications. Understanding of data structures, programming logic, and design Understanding of application design patterns Excellent written & verbal communication skills Excellent attention to detail Secondary Skills Experience using OAuth/OIDC Qualifications 7+ years of experience Bachelor s Degree or International equivalent

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