1769 Data Architecture Jobs

As a Senior Power BI Architect with over 8 years of experience, you will be responsible for leading the design, implementation, and governance of Power BI solutions within the enterprise. In this leadership role, you will be expected to utilize advanced knowledge in data architecture, Azure BI stack integration, and enterprise-scale reporting solutions to drive impactful results. You will play a key role in architecture ownership, stakeholder engagement, and technical mentorship across various teams. Your key responsibilities will include architecting enterprise BI solutions by designing and implementing scalable Power BI architecture that aligns with data strategy and business objectives. You will also lead the design of semantic models, data transformations, and DAX calculations while ensuring optimized performance across large data sets and distributed systems. Additionally, you will define and implement Power BI governance strategies, integrate BI solutions with Azure services, contribute to enterprise data strategy decisions, and provide mentorship to BI developers, analysts, and business users. To excel in this role, you should possess a Bachelor's degree in computer science, Information Technology, or a related field along with 8+ years of experience in Power BI Architecture. Proficiency in Advanced Power BI features such as DAX, Power Query, and Dataflows, as well as experience with Azure Synapse, Azure Data Factory, Azure SQL, and Azure Purview is essential. Strong skills in SQL, data modeling, Power BI governance, and stakeholder management are also required. Excellent communication and mentoring abilities are crucial for collaborating with senior executives, data owners, and cross-functional teams to deliver robust BI solutions aligned with strategic goals. Preferred qualifications include Microsoft Certified Power BI/Data Engineering certifications, exposure to Power Platform, Python, or R for advanced analytics, and experience in Agile BI delivery models. If you are a seasoned Power BI professional looking to take on a challenging leadership role in designing and implementing enterprise-scale BI solutions, this position offers the opportunity to make a significant impact within the organization.,

As a Data Solutions Lead at Capco, a global technology and management consulting firm, you will play a crucial role in driving data-related initiatives for the banking and financial sectors. With over 8 years of experience in Data Lineage, Data Governance, Data Modelling, and Data Architecture, you will have the opportunity to work closely with business stakeholders to understand requirements and propose effective solutions. Your responsibilities will include collaborating with downstream and upstream application stakeholders to ensure data quality, discussing the impact of changes, and supporting data migrations. Your expertise in developing enterprise-level data models for Financial markets industries, data definitions, and data standards will be instrumental in driving transformational projects within the organization. In this role, you will leverage your experience in working with large datasets, relational databases, and data query skills such as SQL. Additionally, your proficiency in data quality management, metadata management, and metadata tooling will be highly valued. Previous experience in the banking or financial institution sector is preferred. Joining Capco will offer you the opportunity to work on engaging projects with leading banks globally, contributing to the transformation of the financial services industry. You will be part of a work culture that prioritizes innovation, creating lasting value for clients and employees alike. Continuous learning opportunities will be provided to help you expand your skill set and deepen your expertise. At Capco, you will benefit from a flat, non-hierarchical structure that encourages collaboration with senior partners and direct client interaction. The organization fosters a diverse, inclusive, and meritocratic culture, providing a supportive environment for professional growth and development.,

As a Manager, Technical Consulting at Salesforce Global Delivery Centre (GDC), you will play a crucial role in managing, training, and nurturing the careers of our technical consulting team. Your responsibilities will include people leadership, career coaching, and overseeing projects for the team. You will also be instrumental in building our Industries practice by leading internal initiatives, contributing to the technical practice business plan, developing methodology, enabling the team, onboarding new architects, and recruiting to expand the team. In this role, which is 50% billable, you will not only lead your team but also engage with customers and partners as a technical architect to address critical business challenges using Salesforce Industries Cloud. You will have up to 15 direct reports under your supervision, and you will be responsible for delivering technical work on Industries projects while also leading your team of Technical Consultants. Your duties will involve hiring, training, and mentoring the consultants to ensure successful implementation of solutions that meet customer needs. Moreover, you will serve as a trusted advisor to clients, providing guidance on deploying emerging technologies that drive increased business value. You will lead internal critical initiatives to grow the Industries consulting practice, contribute to the community's knowledge base, and work closely with Delivery Managers, Solution Architects, and clients to architect technology solutions. Additionally, you will lead Enterprise Architecture and Governance for enterprise-level customer engagements, establish trust with customers" leadership, and ensure the success of project teams while delivering optimized solutions. To qualify for this role, you should have 10-16 years of experience leading Salesforce technical consulting projects, 5+ years of people management experience, and expertise in Salesforce Industries Cloud, Sales/Service/Experience Cloud, and Vlocity OmniStudio. You must possess strong application design, data, integration, and security architecture skills, as well as proficiency in Apex, Triggers, Lightning Flows, Lightning, LWC, and modern web and mobile technologies. Preferred qualifications include Salesforce certifications, OmniStudio Developer/Consultant certification, and exceptional communication and analytical skills. If you are a resourceful, innovative thinker with strong interpersonal skills and a passion for driving successful customer outcomes through technology solutions, we invite you to join our team as a Manager, Technical Consulting at Salesforce GDC.,

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 a Software Engineer specializing in Salesforce Marketing Cloud and Interaction Studio, you will be entrusted with the responsibility of steering and executing the technical strategy and deployment of Salesforce solutions to bolster the marketing endeavors of our organization. Your role will encompass guiding the team, delivering technical solutions, and nurturing a group of skilled Salesforce engineers with a focus on Marketing Cloud. Your expertise will be crucial in utilizing various components of Marketing Cloud such as Email Studio, Automation Studio, Mobile Studio, Contact Builder, Mobile Push, Interaction Studio, and Journey Builder. With a minimum of 5 years of experience in customizing Salesforce Marketing Cloud, you will demonstrate proficiency in AmpScript, Service Side JavaScript (SSJS), Cloudpage, and SQL. Your responsibilities will also include configuration of Marketing Cloud, configuring Marketing Cloud Connectors, installing packages, implementing API integrations, and possessing a comprehensive understanding of SOAP and REST calls within Marketing Cloud APIs. You will showcase your proficiency in Customer Data Platforms (CDP), Interaction Studio, Journey Builder, Automation Studio, Email Studio, and Mobile Studio. Furthermore, you will exhibit your capability in establishing and managing data structures, data extensions, and automations within Salesforce Marketing Cloud. To excel in this role, you should have a minimum of 4 years of experience in designing and implementing fault-tolerant and highly available Marketing Cloud APIs, REST, SOAP, and Platform Events (Pub/Sub). Proficiency in Apex, JavaScript, Lightning components, Aura Components, and Lightning Web Components is essential. Your expertise should also include Contact Builder, data extension, data synchronization, sitemap, content block, and Marketing Cloud data modeling and architecture. Having certifications such as Salesforce Marketing Cloud Developer, Consultant, or Salesforce Application Architect will be advantageous. Proficiency in SQL and experience in database scripting using DDL or DML are also required. Familiarity with various marketing automation platforms like Adobe Campaign, Adobe Journey Optimizer, Salesforce Marketing Cloud, Braze, Marketo, or similar platforms will be beneficial. Additionally, a minimum of 3 years of experience in Agile scrum software development processes is preferred for this role.,

As a candidate, you will be responsible for understanding business requirements through discovery processes. You will analyze and identify technical features in the solution, conduct technical gap and fitment analysis, and select the appropriate LLM model and its variants for optimal performance and expense. Your role will involve creating the overall solution architecture, which covers infrastructure, data, AI, apps, security, and operations. You will be tasked with building feasible, best-fit, and optimally designed innovative techniques in architecture. Collaboration with the customer's enterprise architecture team will be crucial to ensure alignment with their requirements. Additionally, you will need to have expertise in Azure/AWS cloud architecture, security architecture, data architecture, open AI/Bedrock, cognitive services, and serverless technologies such as Azure Function and AWS DynamoDB. Overall, your role will be pivotal in designing and implementing cutting-edge solutions that meet both business and technical requirements.,

As a Solution Designer (Cloud Data Integration) at Barclays within the Customer Digital and Data Business Area, you will play a vital role in supporting the successful delivery of location strategy projects. Your responsibilities will include ensuring projects are delivered according to plan, budget, quality standards, and governance protocols. By spearheading the evolution of the digital landscape, you will drive innovation and excellence, utilizing cutting-edge technology to enhance our digital offerings and deliver unparalleled customer experiences. To excel in this role, you should possess hands-on experience working with large-scale data platforms and developing cloud solutions within the AWS data platform. Your track record should demonstrate a history of driving business success through your expertise in AWS, distributed computing paradigms, and designing data ingestion programs using technologies like Glue, Lambda, S3, Redshift, Snowflake, Apache Kafka, and Spark Streaming. Proficiency in Python, PySpark, SQL, and database management systems is essential, along with a strong understanding of data governance principles and tools. Additionally, valued skills for this role may include experience in multi-cloud solution design, data modeling, data governance frameworks, agile methodologies, project management tools, business analysis, and product ownership within a data analytics context. A basic understanding of the banking domain, along with excellent analytical, communication, and interpersonal skills, will be crucial for success in this position. Your main purpose as a Solution Designer will involve designing, developing, and implementing solutions to complex business problems by collaborating with stakeholders to understand their needs and requirements. You will be accountable for designing solutions that balance technology risks against business delivery, driving consistency and aligning with modern software engineering practices and automated delivery tooling. Furthermore, you will be expected to provide impact assessments, fault finding support, and architecture inputs required to comply with the bank's governance processes. As an Assistant Vice President in this role, you will be responsible for advising on decision-making processes, contributing to policy development, and ensuring operational effectiveness. If the position involves leadership responsibilities, you will lead a team to deliver impactful work and set objectives for employees while demonstrating leadership behaviours focused on listening, inspiring, aligning, and developing others. Alternatively, as an individual contributor, you will lead collaborative assignments, guide team members, identify new directions for projects, consult on complex issues, and collaborate with other areas to support business activities. All colleagues at Barclays are expected to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset to Empower, Challenge, and Drive. By demonstrating these values and mindset, you will contribute to creating an environment where colleagues can thrive and deliver consistently excellent results.,

The role requires you to design and implement data modeling solutions using relational, dimensional, and NoSQL databases. You will closely collaborate with data architects to create customized databases utilizing a blend of conceptual, physical, and logical data models. As a data modeler, your responsibilities include designing, implementing, and documenting data architecture and modeling solutions across various database types to support enterprise information management, business intelligence, machine learning, and data science initiatives. Your key responsibilities will involve implementing business and IT data requirements by devising new data strategies and designs for different data platforms and tools. You will engage with business and application teams to execute data strategies, establish data flows, and develop conceptual, logical, and physical data models. Moreover, you will define and enforce data modeling standards, tools, and best practices, while also identifying architecture, infrastructure, data interfaces, security considerations, analytic models, and data visualization aspects. Additionally, you will undertake hands-on tasks such as modeling, design, configuration, installation, performance tuning, and sandbox proof of concept. It is crucial to work proactively and independently to fulfill project requirements, communicate challenges effectively, and mitigate project delivery risks. Qualifications required for this role include a BE/B.Tech degree or equivalent and a minimum of 8 years of hands-on experience in relational, dimensional, and/or analytic domains, involving RDBMS, dimensional, NoSQL platforms, and data ingestion protocols. Proficiency in data warehouse, data lake, and big data platforms within multi-data-center environments is essential. Familiarity with metadata management, data modeling tools (e.g., Erwin, ER Studio), and team management skills are also necessary. Your primary skills should encompass developing conceptual, logical, and physical data models, implementing RDBMS, ODS, data marts, and data lakes, and ensuring optimal data query performance. You will be responsible for expanding existing data architecture and employing best practices. The ability to work both independently and collaboratively is vital for this role. Preferred skills for this position include experience with data modeling tools and methodologies, as well as strong analytical and problem-solving abilities.,

The Data Architecture Specialist Join a team of data architects dedicated to designing and implementing industry-relevant reinventions that help organizations achieve exceptional business value through technology. Practice: Technology Strategy & Advisory, Capability Network Areas of Work: Data Architecture Level: Sr Manager Location: Bangalore/Mumbai/Pune/Gurugram Years of Experience: 15 to 21 years Explore an Exciting Career at Accenture Are you a problem solver with a passion for Tech-driven transformation Do you thrive on designing, building, and implementing strategies to enhance business architecture performance Are you eager to contribute to an inclusive, diverse, and collaborative culture Accenture offers a host of exciting global opportunities in Technology Strategy & Advisory for individuals like you. The Practice- A Brief Sketch: The Technology Strategy & Advisory team at Accenture assists clients in achieving growth and efficiency through innovative R&D transformation, focusing on redefining business models using agile methodologies. As a member of this high-performing team, you will collaborate closely with clients to unlock the value of data, architecture, and AI, driving business agility and transformation towards a real-time enterprise. As a leading Data Architecture Consulting professional, your responsibilities will include: - Business Problem Data Analysis: Identifying, assessing, and solving complex business problems through in-depth evaluation. - Technology-driven journey intersection: Assisting clients in designing, architecting, and scaling their journey towards new technology-driven growth. - Architecture Transformation: Enabling architecture transformation to solve key business problems and transition to a to-be enterprise environment. - High Performance Growth and Innovation: Supporting clients in building capabilities for growth and innovation to sustain high performance. Key Responsibilities: - Present data strategy and develop technology solutions to drive discussions at the C-suite/senior leadership level. - Utilize expertise in technologies such as big data, data integration, data governance, cloud platforms, data modeling tools, and data warehouse environments. - Lead proof of concept implementations and define plans for scaling across multiple technology domains. - Demonstrate creative and analytical problem-solving skills. - Understand key value drivers of a business and how they impact engagement scope and approach. - Develop client relationships and collaborate effectively with key stakeholders. - Lead and motivate diverse teams to achieve common goals. Qualifications: - MBA from a tier 1 institute - Prior experience in assessing Information Strategy Maturity, data monetization, defining data-based strategy, cloud platforms, Data Governance, and evaluating products and frameworks. - Practical industry expertise in Financial Services, Retail, Telecommunications, Life Sciences, Mining, etc., or equivalent domains. Join Accenture's Technology Strategy & Advisory team to leverage your skills, expertise, and leadership in driving transformative data architecture solutions for global clients.,

You are an experienced Software Developer with a strong background in SQL databases, responsible for leading the development of SQL databases for various applications and business needs. Your expertise in data architecture and management will be crucial in designing and scaling SQL databases to meet the organization's requirements. You will also play a key role in writing SQL queries to store, sort, and retrieve a wide range of data. Your ability to think quickly, stay organized, and troubleshoot issues efficiently will be essential for day-to-day operations. Your responsibilities will include designing, developing, and maintaining robust SQL databases and database solutions in both on-premises and Cloud environments (AWS & Azure). You will provide technical expertise in migrating databases from on-premises to the Cloud and have knowledge of C++ as an added advantage. Additionally, you will lead a team of SQL developers, offer technical guidance, analyze and resolve issues in real-time, automate processes, track issues, and document changes. You will evaluate business data, recommend analytic strategies, perform statistical analysis, and work closely with development and architecture teams to optimize database schemas. To excel in this role, you should have a Bachelor's degree in Computer Science or a related field, along with 10+ years of experience in SQL development and database management (MS SQL, PostgreSQL). You should also possess 3+ years of experience in data analysis in an enterprise setting, a strong understanding of database design principles and data modeling, knowledge of ETL concepts, and excellent communication and presentation skills. Strong quantitative skills, attention to detail, problem-solving abilities, and the capacity to collaborate effectively with various teams are also essential. Working at LSEG, a leading global financial markets infrastructure and data provider, will offer you the opportunity to be part of a diverse workforce across 65 countries. You will contribute to a culture that values individuality, encourages new ideas, and is committed to sustainability. By helping to re-engineer the financial ecosystem for sustainable economic growth and supporting the transition to net zero, you will play a critical role in driving inclusive economic opportunity. LSEG provides a range of benefits and support, including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives. If you join us, you will be part of an organization that upholds values such as Integrity, Partnership, Excellence, and Change, guiding decision-making and actions on a daily basis.,

At American Express, the culture is built on a 175-year history of innovation, shared values, and leadership behaviors, with an unwavering commitment to support customers, communities, and colleagues. As a part of Team Amex, you will experience comprehensive support for your holistic well-being and numerous opportunities to learn new skills, develop as a leader, and advance your career. Your voice and ideas hold significance, your work creates an impact, and together, we will shape the future of American Express. The GMNS Data Office is dedicated to bringing critical data elements and applications under compliance with the Enterprise Data Management Operating Policy (AEMP70) and Enterprise Data Risk Management Policy (AEMP79). The team is focused on assisting American Express in leveraging the true value of data through the application of Data Management and Governance principles. As a Data Steward, you will lead the team responsible for ensuring day-to-day compliance with the Enterprise Data Risk Management Policy within their domains/business units. You will be responsible for identifying critical data, maintaining data definitions, classifying data, supporting data sourcing/usage requests, evaluating Data Risk Controls, and confirming remediation of Data Incidents. Collaboration with various business units, technology teams, and product/platform teams is essential to define and implement the data governance strategy, monitor and manage data risks, resolve data/platform issues, and drive consistency, usability, and governance of specific product data across the organization. Primary Responsibilities: - Advance established data governance principles, policies, and programs for stewardship, advocacy, and custodianship of data - Manage all Data Risks for the business unit in coordination with relevant supporting roles as described in the Enterprise Data Risk Management Policy - Establish, maintain, and test the effectiveness of controls to manage data risk within the established Data Risk Appetite limits for the Business Unit - Facilitate Data Incident capture and coordination, plan Data Incident remediation activities, monitor Data Incident status for reporting, and support testing and validation - Coordinate with Business Units and other Business Unit Data Offices to ensure System level Lineage is documented completely and accurately - Collaborate with data owners and users to modify or implement new repeatable and reliable business processes for effective data management - Partner with Third-Party Risk Management to monitor and validate Third Parties" adherence to Enterprise Data Risk Management requirements - Harmonize key policies and guidelines (e.g., Data Quality, Data Definition, Data Creation, Data Sharing, Data Usage policies) with the necessary processes in collaboration with multi-functional partners - Develop and produce key metrics scorecards and program status communications for the full suite of teams within the Data Office Qualifications: - Bachelor's degree in business, analytics, information systems, computer science, engineering, or any other data-related field. Master's Degree preferred - 8+ years of direct work experience in large-scale/enterprise data projects, with at least 4 years of direct experience in formal data governance and/or data management programs - Strong working knowledge of current and upcoming data governance, data management, and data product techniques and trends - Senior-level program management experience with global business units - Demonstrable experience in driving improvements in business value through data management and strategy - Ability to design and implement solutions for complex challenges - Excellent communication skills for delivering strategic visions and updates to large groups and senior leaders - Eagerness to test, learn, fail, and improve - Positive, collaborative leadership style with a customer-first attitude - Certification as a Data Management Professional (CDMP) or similar preferred - Experience with Collibra Data Intelligence Platform, MANTA, or similar Data Governance tools preferred - Experience in incident management, risk/data risk management, data architecture, data breach management, data classification, data quality monitoring, and data governance/compliance management preferred American Express offers competitive benefits supporting holistic well-being, including financial, physical, and mental health care, along with flexible working arrangements, parental leave policies, and access to wellness programs. Please note that an offer of employment with American Express is subject to the successful completion of a background verification check in accordance with applicable laws and regulations.,

As a Lead Data Engineer with 7-12 years of experience, you will be an integral part of our team, contributing significantly to the design, development, and maintenance of our data infrastructure. Your primary responsibilities will revolve around creating and managing robust data architectures, ETL processes, data warehouses, and utilizing big data and cloud technologies to support our business intelligence and analytics needs. You will lead the design and implementation of data architectures that facilitate data warehousing, integration, and analytics platforms. Developing and optimizing ETL pipelines will be a key aspect of your role, ensuring efficient processing of large datasets and implementing data transformation and cleansing processes to maintain data quality. Your expertise will be crucial in building and maintaining scalable data warehouse solutions using technologies such as Snowflake, Databricks, or Redshift. Additionally, you will leverage AWS Glue and PySpark for large-scale data processing, manage data pipelines with Apache Airflow, and utilize cloud platforms like AWS, Azure, and GCP for data storage, processing, and analytics. Establishing data governance and security best practices, ensuring data integrity, accuracy, and availability, and implementing monitoring and alerting systems are vital components of your responsibilities. Collaborating closely with stakeholders, mentoring junior engineers, and leading data-related projects will also be part of your role. Furthermore, your technical skills should include proficiency in ETL tools like Informatica Power Center, Python, PySpark, SQL, RDBMS platforms, and data warehousing concepts. Soft skills such as excellent communication, leadership, problem-solving, and the ability to manage multiple projects effectively will be essential for success in this role. Preferred qualifications include experience with machine learning workflows, certification in relevant data engineering technologies, and familiarity with Agile methodologies and DevOps practices. Location: Hyderabad Employment Type: Full-time,

We are developers of digital futures! Tietoevry creates purposeful technology that reinvents the world for good. We are a leading technology company with a strong Nordic heritage and global capabilities. Based on our core values of openness, trust, and diversity, we work with our customers to develop digital futures where businesses, societies, and humanity thrive. Our 24,000 experts globally specialize in cloud, data, and software, serving thousands of enterprise and public-sector customers in approximately 90 countries. Tietoevry's annual turnover is approximately EUR 3 billion, and the company's shares are listed on the NASDAQ exchange in Helsinki and Stockholm, as well as on Oslo Brs. EVRY USA delivers IT services to a wide range of customers in the USA through its global delivery centers and India offices (EVRY India) in Bangalore & Chandigarh, India. We offer a comprehensive IT services portfolio and drive digital transformation across various sectors including Banking & Financial Services, Insurance, Healthcare, Retail & Logistics, and Energy, Utilities & Manufacturing. EVRY India's process and project maturity is very high, with the two offshore development centers in India being appraised at CMMI DEV Maturity Level 5 & CMMI SVC Maturity Level 5 and certified under ISO 9001:2015 & ISO/IEC 27001:2013. We are seeking a highly experienced Snowflake Architect with deep expertise in building scalable data platforms on Azure, applying Medallion Architecture principles. The ideal candidate should have strong experience working in the Banking domain. The candidate will play a key role in architecting secure, performant, and compliant data solutions to support business intelligence, risk, compliance, and analytics initiatives. **Pre-requisites:** - 5 years of hands-on experience in Snowflake including schema design, security setup, and performance tuning. - Implementation experience using Snowpark. - Must have a Data Architecture background. - Deployed a fully operational data solution into production on Snowflake & Azure. - Snowflake certification preferred. - Familiarity with data modeling practices like dimensional modeling & data vault. - Understanding of the dbt tool. **Key Responsibilities:** - Design and implement scalable and performant data platforms using Snowflake on Azure, tailored for banking industry use cases. - Architect ingestion, transformation, and consumption layers using Medallion Architecture for a performant & scalable data platform. - Work with data engineers to build modular and reusable bronze, silver and gold layer models that support diverse workloads. - Provide architectural oversight and best practices to ensure scalability, performance, and maintainability. - Collaborate with stakeholders from risk, compliance, and analytics teams to translate requirements into data-driven solutions. - Build architecture to support time travel kind of reporting. - Support CI/CD automation and environment management using tools like Azure DevOps and Git. - Build architecture to support operational & analytical reports. Recruiter Information: - Recruiter Name: Harish Gotur - Recruiter Email Id: harish.gotur@tietoevry.com,

You will be responsible for leading the delivery of complex solutions by coding larger features from start to finish. Actively participating in planning, performing code and architecture reviews of your team's product will be a crucial aspect of your role. You will help ensure the quality and integrity of the Software Development Life Cycle (SDLC) for your team by identifying opportunities for improvement in how the team works, through the usage of recommended tools and practices. Additionally, you will lead the triage of complex production issues across systems and demonstrate creativity and initiative in solving complex problems. As a high performer, you will consistently deliver a high volume of story points relative to your team. Being aware of the technology landscape, you will plan the delivery of coarse-grained business needs spanning multiple applications. You will also influence technical peers outside your team and set a consistent example of agile development practices. Coaching other engineers to work as a team with Product and UX will be part of your responsibilities. Furthermore, you will create and enhance internal libraries and tools, provide technical leadership on the product, and determine the technical approach. Proactively communicating status and issues to your manager, collaborating with other teams to find creative solutions to customer issues, and showing a commitment to delivery deadlines, especially seasonal and vendor partner deadlines that are critical to Best Buy's continued success, will be essential. Basic Qualifications: - 5+ years of relevant technical professional experience with a bachelor's degree OR equivalent professional experience. - 2+ years of experience with Google Cloud services including Dataflow, Bigquery, Looker. - 1+ years of experience with Adobe Analytics, Content Square, or similar technologies. - Hands-on experience with data engineering and visualization tools like SQL, Airflow, DBT, PowerBI, Tableau, and Looker. - Strong understanding of real-time data processing and issue detection. - Expertise in data architecture, database design, data quality standards/implementation, and data modeling. Preferred Qualifications: - Experience working in an omni-channel retail environment. - Experience connecting technical issues with business performance metrics. - Experience with Forsta or similar customer feedback systems. - Certification in Google Cloud Platform services. - Good understanding of data governance, data privacy laws & regulations, and best practices. About Best Buy: BBY India is a service provider to Best Buy, and as part of the team working on Best Buy projects and initiatives, you will help fulfill Best Buy's purpose to enrich lives through technology. Every day, you will humanize and personalize tech solutions for every stage of life in Best Buy stores, online, and in Best Buy customers" homes. Best Buy is a place where techies can make technology more meaningful in the lives of millions of people, enabling the purpose of enriching lives through technology. The unique culture at Best Buy unleashes the power of its people and provides fast-moving, collaborative, and inclusive experiences that empower employees of all backgrounds to make a difference, learn, and grow every day. Best Buy's culture is built on deeply supporting and valuing its amazing employees and other team members. Best Buy is committed to being a great place to work, where you can unlock unique career possibilities. Above all, Best Buy aims to provide a place where people can bring their full, authentic selves to work now and into the future. Tomorrow works here.,

As a Data Architecture Specialist at Accenture, you will be part of a team of data architects focused on designing and executing industry-relevant reinventions that help organizations achieve exceptional business value through technology. You will be working in the Technology Strategy & Advisory practice, within the Capability Network, with a focus on Data Architecture at a Senior Manager level in locations like Bangalore, Mumbai, Pune, or Gurugram, requiring 15 to 21 years of experience. Accenture offers an exciting career opportunity for individuals who are problem solvers and passionate about technology-driven transformation. If you enjoy designing, building, and implementing strategies to enhance business architecture performance and want to be part of an inclusive, diverse, and collaborative culture, then Accenture Technology Strategy & Advisory is the place for you. In this role, you will collaborate with clients to unlock the value of data, architecture, and AI to drive business agility and transformation towards a real-time enterprise. Your responsibilities will include identifying and solving complex business problems through data analysis, helping clients design and scale their technology-driven journey, enabling architecture transformation, and assisting clients in building capabilities for growth and innovation. To excel in this role, you will need to present data strategy, develop technology solutions, and engage in C-suite level discussions. You should have a deep understanding of technologies such as big data, data integration, data governance, cloud platforms, and data modeling tools. Leading proof of concept implementations, demonstrating creative problem-solving abilities, leveraging business value drivers, developing client relationships, collaborating with diverse teams, and exhibiting strong leadership, communication, and organizational skills are key aspects of this role. If you are looking to bring your best skills forward and be part of a dynamic team that thrives on innovation and growth, the Data Architecture Specialist role at Accenture is the perfect opportunity for you.,

As a Data Engineer at Bridgnext, you will be responsible for working on internal and customer-based projects. Your primary focus will be on ensuring the quality of the code and providing optimal solutions to meet client requirements while anticipating their future needs based on market understanding. Your experience with Hadoop projects, including data processing and representation using various AWS services, will be valuable in this role. You should have at least 4 years of experience in data engineering, with a specialization in big data technologies such as Spark and Kafka. A minimum of 2 years of hands-on experience with Databricks is essential for this position. A strong understanding of data architecture, ETL processes, and data warehousing is necessary, along with proficiency in programming languages like Python or Java. Experience with cloud platforms such as AWS, Azure, and GCP, as well as familiarity with big data tools, will be beneficial. Excellent communication, interpersonal, and leadership skills are required to effectively collaborate with team members and clients. You should be able to work in a fast-paced environment, managing multiple priorities efficiently. In addition to technical skills, you should possess solid written, verbal, and presentation communication abilities. Being a strong team player while also capable of working independently is crucial. Maintaining composure in various situations, collaborative nature, high standards of professionalism, and consistently delivering high-quality results are expected from you. Your self-sufficiency and openness to creative solutions will be key in addressing any challenges that may arise in the role.,

As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realize their dreams and ambitions. With a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards, and personal loans, we strive to support our customers at every life stage. Our financial solutions are tailored to meet your needs and aspirations effectively. In line with this vision, a strong techno-functional team has been established in Hyderabad under the Data chapter COE to support Consumer Banking Groups (CBG) analytics interventions. You will play a crucial role in this team by: - Understanding business requirements and objectives clearly. - Handling ad-hoc requests, providing impactful insights, and presenting effectively. - Developing Qlik Sense Dashboards to visualize data effectively. - Examining issues and errors to enhance platform stability. - Supporting end-to-end business initiatives to drive outcomes and performance. - Conducting data extraction and investigation to derive meaningful conclusions. - Improving productivity and reducing employee toil through data analytics. - Demonstrating good communication skills to interact with customers regularly. - Working collaboratively as part of a team and independently under supervision. - Utilizing problem-solving skills and a proactive approach to address challenges effectively. To be successful in this role, you should meet the following requirements: - Possess 5+ years of experience in data and business analytics. - Proficiency in Python, Py-spark, and SQL for data processing and analysis. - Familiarity with BI and analytical tools such as Qlikview, Qliksense, etc. - Knowledge of data architecture, particularly S3. - Strong interpersonal and organizational skills with clear communication abilities. - Results-driven personality with an analytical mindset and innovative thinking. - Ability to analyze and modify code to ensure successful execution. - Capability to manage multiple priorities and deadlines efficiently. - Preferred domain knowledge in Credit & Debit cards. - Demonstrated expertise in process management, encompassing evaluation, design, execution, measurement, monitoring, and control of business processes.,

The leading provider of comprehensive waste and environmental services in North America, Waste Management (WM), a Fortune 250 company, is strongly committed to operating excellence, professionalism, and financial strength. With a customer base of nearly 25 million in various markets, WM operates through a network of collection operations, transfer stations, landfills, recycling facilities, and waste-based energy production projects. This experienced position plays a vital role in supporting the HR Organizations reporting and analytics needs. Aligned with the HR Data Architecture team, the role involves creating the HR Organizations data architecture within the Enterprise Data Warehouse (Snowflake). Collaborating with experienced team members, this position provides input for delivering data products internally within the HR Organization and externally to the broader organization at WM. The responsibilities include analyzing and interpreting data, defining requirements for data pipelines related to HR data, identifying meaningful patterns, and documenting HR data lineage and provenance in coordination with HR Data Architects. **Essential Duties and Responsibilities:** - Monitor HR Reporting and Analytics daily tasks, troubleshoot data-related issues, and report to the Data Management Team for resolution. - Analyze requirements and translate them into technical specifications. - Manage ETL pipeline tickets, review open cases, and troubleshoot when necessary. - Create test plans and scenarios for ETL pipeline and execute testing. - Collaborate with data engineers, data architects, and business stakeholders to ensure data quality and integrity. - Design and maintain data models supporting business needs and assist with ad-hoc report requests. - Create and maintain documentation related to data models, data products, data catalogs, dataflow diagrams, and transformation diagrams. - Maintain data definitions and data catalogs. **Supervisory Responsibilities:** - No formal supervisory responsibilities. - Provide informal assistance, technical guidance, and training to coworkers. - May lead project teams or plan and supervise assignments of lower-level employees. **Qualifications:** **Education and Experience:** - Education: Any Graduate - Experience: Three (3) years of previous experience in addition to the education requirement. **Knowledge, Skills, and Abilities:** - Strong project management and organization skills - Critical thinking - Adaptability - Strong multi-tasking skills - Execution mentality - Self-starter - Excellent written and verbal communication skills - Strong analytical skills - Ability to provide efficient, timely, reliable, and courteous service to business partners - General HRIS system experience - Knowledge of HR data - Strong Microsoft product experience - Knowledge of data modeling, relationship database, data warehousing, database architecture, and SQL - Knowledge of data stewardship/governance - Strong troubleshooting and problem-solving skills - Some experience in business intelligence tools a plus (Power BI, Tableau) **Work Environment:** The job demands motor coordination, physical effort in handling objects, and exposure to occupational risks and environments. The normal setting is an office environment, and the role may require working standard and non-standard hours in emergencies. **Benefits:** WM offers a competitive total compensation package, including Medical, Dental, Vision, Life Insurance, Short Term Disability, Stock Purchase Plan, Company match on 401K, Paid Vacation, Holidays, and Personal Days. Benefits may vary by site. If you are seeking an opportunity to contribute to Waste Management's mission, please click "Apply.",

We are looking for a highly skilled and experienced Data Architect to join our team. With at least 15 years of experience in Data engineering and Analytics, the ideal candidate will have a proven track record of designing and implementing complex data solutions. As a senior principal data architect, you will play a key role in designing, creating, deploying, and managing Blackbaud's data architecture. This position holds significant technical influence within the Data Platform, Data Engineering teams, and the Data Intelligence Center of Excellence at Blackbaud. You will act as an evangelist for proper data strategy across various teams within Blackbaud, and provide technical guidance, particularly in the area of data, for other projects. Responsibilities: - Develop and direct the strategy for all aspects of Blackbaud's Data and Analytics platforms, products, and services. - Set, communicate, and facilitate technical direction for the AI Center of Excellence and beyond collaboratively. - Design and develop innovative products, services, or technological advancements in the Data Intelligence space to drive business expansion. - Collaborate with product management to create technical solutions that address customer business challenges. - Take ownership of technical data governance practices to ensure data sovereignty, privacy, security, and regulatory compliance. - Challenge existing practices and drive innovation in the data space. - Create a data access strategy to securely democratize data and support research, modeling, machine learning, and artificial intelligence initiatives. - Contribute to defining tools and pipeline patterns used by engineers and data engineers for data transformation and analytics support. - Work within a cross-functional team to translate business requirements into data architecture solutions. - Ensure that data solutions prioritize performance, scalability, and reliability. - Mentor junior data architects and team members. - Stay updated on technology trends such as distributed computing, big data concepts, and architecture. - Advocate internally for the transformative power of data at Blackbaud. Required Qualifications: - 15+ years of experience in data and advanced analytics. - Minimum of 8 years of experience with data technologies in Azure/AWS. - Proficiency in SQL and Python. - Expertise in SQL Server, Azure Data Services, and other Microsoft data technologies. - Familiarity with Databricks, Microsoft Fabric. - Strong grasp of data modeling, data warehousing, data lakes, data mesh, and data products. - Experience with machine learning. - Excellent communication and leadership abilities. Preferred Qualifications: - Experience with .Net/Java and Microservice Architecture.,

As a Data Governance and Sales Support Analyst at Russell Investments, Mumbai, you will be responsible for managing and maintaining the organization's GTM data governance policies and procedures to uphold the integrity of our CRM data. Your primary focus will involve driving strategy, execution, and continuous oversight of data governance projects and standards that support the growth and scalability of sales technologies, specifically Microsoft Dynamics and/or Salesforce CRM. Your role as a Data Governance and Sales Support Analyst will position you as a crucial central figure within our Global Sales Operations team and internal stakeholders. You will collaborate with key organizational stakeholders to gain a thorough understanding of business needs, conduct analysis, and implement solutions to enhance the business through governance processes, technology, and policies. To excel in this role, you should have a minimum of 3 years of experience in Data Governance, along with a Bachelor's degree in Computer Science, Data Science, Analytics, or a related Information Technology/Engineering discipline. Your responsibilities will include developing and maintaining the organization's data governance policies and procedures, executing data governance strategies to align with strategic objectives, ensuring data compliance with privacy and security regulations, creating a data catalog, enforcing data quality standards, collaborating with departments and stakeholders, implementing data quality improvements, and supporting projects related to data migration and governance. Additionally, you will be responsible for supporting data transfers between third-party sources and the CRM system, resolving issues in collaboration with multiple technology teams, and leveraging your strong knowledge of SQL or other querying languages, experience with data architecture, modeling, and statistical analysis, familiarity with CRM platforms, and excellent analytical, problem-solving, and communication skills. If you are a proactive, detail-oriented individual with a technical background, strong collaboration skills, and the ability to work effectively in a team environment, this role offers you the opportunity to contribute to the foundation and culture of a globally recognized asset management firm while supporting its operations in India. Join us at Russell Investments and be part of a dynamic team dedicated to delivering exceptional value to clients worldwide. Visit our website for more information: https://russellinvestments.com/us/careers.,

As a Data Modeler specializing in Hybrid Data Environments, you will play a crucial role in designing, developing, and optimizing data models that facilitate enterprise-level analytics, insights generation, and operational reporting. You will collaborate with business analysts and stakeholders to comprehend business processes and translate them into effective data modeling solutions. Your expertise in traditional data stores such as SQL Server and Oracle DB, along with proficiency in Azure/Databricks cloud environments, will be essential in migrating and optimizing existing data models. Your responsibilities will include designing logical and physical data models that capture the granularity of data required for analytical and reporting purposes. You will establish data modeling standards and best practices to maintain data architecture integrity and collaborate with data engineers and BI developers to ensure data models align with analytical and operational reporting needs. Conducting data profiling and analysis to understand data sources, relationships, and quality will inform your data modeling process. Your qualifications should include a Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field, along with a minimum of 5 years of experience in data modeling. Proficiency in SQL, familiarity with data modeling tools, and understanding of Azure cloud services, Databricks, and big data technologies are essential. Your ability to translate complex business requirements into effective data models, strong analytical skills, attention to detail, and excellent communication and collaboration abilities will be crucial in this role. In summary, as a Data Modeler for Hybrid Data Environments, you will drive the development and maintenance of data models that support analytical and reporting functions, contribute to the establishment of data governance policies and procedures, and continuously refine data models to meet evolving business needs and leverage new data modeling techniques and cloud capabilities.,

Job Description: We are looking for a highly skilled AI/ML Architect who possesses a strong background in Data Engineering and a demonstrated ability to utilize Design Thinking principles in addressing complex business issues. As the ideal candidate, you will have a pivotal role in shaping comprehensive AI/ML solutions, spanning from data architecture to model deployment. Your focus will be on ensuring that the design is user-centric, scalable, and in alignment with the business objectives. Key Responsibilities: - Take the lead in architecting and designing AI/ML solutions across various business domains. - Collaborate closely with stakeholders to identify use cases and transform them into scalable, production-ready ML architectures. - Employ design thinking methodologies to foster innovative and user-centric solution designs. - Design data pipelines and feature engineering processes for both structured and unstructured data. - Oversee the entire ML lifecycle, encompassing data preprocessing, model training, evaluation, deployment, and monitoring. - Uphold best practices in MLOps, which includes CI/CD for ML, model governance, and strategies for retraining. - Work collaboratively with data scientists, engineers, and product teams to ensure that the architecture aligns with business goals. - Provide mentorship and guidance to engineering and data science teams regarding solution design, performance optimization, and system integration. Experience: 10 to 15 years Job Reference Number: 13029,

The role of S&CGN - Tech Strategy & Advisory - SAP S/4 MDG Consultant at Accenture is a Management Level 9 position based in Bengaluru, BDC7A. The primary must-have skill for this role is a strong knowledge of Data Architecture. Additionally, it is beneficial to have knowledge of emerging technologies, cloud computing, and cybersecurity best practices. As a Consultant in this role, you will be responsible for having a deep functional understanding and practical experience with SAP MDM / MDG, particularly in alignment with SAP MM, SD, FICO, PP processes. Your duties will include process design, configuration, testing assistance, requirement gathering, and establishing functional development for MDG-S, MDG-C, and MDG-MM. Furthermore, you will be expected to work on customized SAP environments and integrated non-SAP interfaces while understanding and translating customer demands into effective solutions. You should be adept at developing, delivering, and supporting analytic solutions based on business requirements. Having an understanding of Analytical data modeling and knowledge of data models will be appreciated. Additionally, familiarity with SAP Services Business Processes and DataWarehouseCloud experience is desirable. The ideal candidate will possess excellent problem-solving skills, a deep understanding of processes from both business and functional perspectives, and proficiency in verbal and written communication. You should also be proficient in MS Office applications and able to collaborate effectively with clients and teams across various geographies. In this role, you will be tasked with developing and executing technology transformation strategies, overseeing implementation projects, and enhancing digital capabilities to improve business efficiency. Therefore, relevant experience in the required domain, strong analytical and problem-solving skills, and the ability to thrive in a fast-paced, dynamic environment are essential. This position offers the opportunity to work on innovative projects, as well as promising career growth and exposure to leadership roles. If you have 8-10 years of experience and hold any degree, you may be a suitable candidate for this challenging and rewarding position at Accenture.,

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. You will be a part of the Technology Strategy & Advisory practice at Accenture, operating at the level of Sr Manager in locations like Bangalore, Mumbai, Pune, and Gurugram. With 15 to 21 years of experience, you will explore exciting opportunities to contribute to Accenture's global initiatives in Technology Strategy & Advisory. As a Data Architecture Specialist, you will collaborate with clients to leverage data, architecture, and AI to drive business agility and real-time transformation. Your responsibilities will include: - Conducting in-depth analysis to identify and solve complex business problems - Guiding clients in designing and scaling technology-driven growth journeys - Facilitating architecture transformations for improved business outcomes - Enabling clients to build capabilities for sustained high performance and innovation To excel in this role, you are expected to: - Present data strategies and technology solutions for C-suite discussions - Demonstrate expertise in technologies like big data, data integration, and cloud platforms - Lead proof of concept implementations and scale them across various domains - Showcase proficiency in data-led projects and RFP responses - Utilize analytical skills in problem-solving and understanding business value drivers - Develop client relationships and manage stakeholder engagements effectively - Collaborate with diverse teams, leveraging leadership and communication skills to achieve common goals If you are a problem solver with a passion for technology-driven transformations and a desire to enhance business architecture performance, Accenture Technology Strategy & Advisory is the perfect place for you to contribute your skills and expertise. Welcome to a dynamic and inclusive culture where innovation and collaboration thrive.,

As a Senior Data Engineering Architect at Iris Software, you will play a crucial role in leading enterprise-level data engineering projects on public cloud platforms like AWS, Azure, or GCP. Your responsibilities will include engaging with client managers to understand their business needs, conceptualizing solution options, and finalizing strategies with stakeholders. You will also be involved in team building, delivering Proof of Concepts (PoCs), and enhancing competencies within the organization. Your role will focus on building competencies in Data & Analytics, including Data Engineering, Analytics, Data Science, AI/ML, and Data Governance. Staying updated with the latest tools, best practices, and trends in the Data and Analytics field will be essential to drive innovation and excellence in your work. To excel in this position, you should hold a Bachelor's or Master's degree in a Software discipline and have extensive experience in Data architecture and implementing large-scale Data Lake/Data Warehousing solutions. Your background in Data Engineering should demonstrate leadership in solutioning, architecture, and successful project delivery. Strong communication skills in English, both written and verbal, are essential for effective collaboration with clients and team members. Proficiency in tools such as AWS Glue, Redshift, Azure Data Lake, Databricks, Snowflake, and databases, along with programming skills in Spark, Spark SQL, PySpark, and Python, are mandatory competencies for this role. Joining Iris Software offers a range of perks and benefits designed to support your financial, health, and overall well-being. From comprehensive health insurance and competitive salaries to flexible work arrangements and continuous learning opportunities, we are dedicated to providing a supportive and rewarding work environment where your success and happiness are valued. If you are inspired to grow your career in Data Engineering and thrive in a culture that values talent and personal growth, Iris Software is the place for you. Be part of a dynamic team where you can be valued, inspired, and encouraged to be your best professional and personal self.,