18 Atlan Jobs

At Medtronic, you can embark on a lifelong journey of exploration and innovation, while contributing to the advancement of healthcare access and equity for all. As an IT Director of Data Engineering, you will play a pivotal role in designing and implementing data solutions for the Diabetes operating unit. Your responsibilities will involve leading the development and maintenance of the enterprise data platform, overseeing data pipeline management, ensuring scalability and performance, integrating new technologies, collaborating with various teams, and managing projects and budgets effectively. Your role will require a master's degree in statistics, computer science, mathematics, data science, or related fields with significant experience in data management. You must have demonstrated expertise in AWS services, Databricks, big data technologies, ETL tools, programming languages such as Python, SQL, and Scala, data orchestration tools like Airflow, and data hygiene processes. Additionally, experience in managing teams, project delivery, and communication skills are essential for this position. As a leader in this role, you will be expected to inspire technical teams, deliver complex projects within deadlines and budgets, and effectively communicate technical concepts to non-technical stakeholders. Certifications such as AWS Certified Solutions Architect are advantageous. Your strategic thinking, problem-solving abilities, attention to detail, and adaptability to a fast-paced environment are key attributes that will contribute to your success in this role. Medtronic offers competitive salaries and a flexible benefits package that supports employees at every stage of their career and life. The company's commitment to its employees is evident in its values and recognition of their contributions to its success. Medtronic's mission of alleviating pain, restoring health, and extending life drives a global team of passionate individuals who work together to find innovative solutions to complex health challenges.,

8+ years of experience in data management area. Strong SQL and ETL knowledge. Should have worked on at least 2 data quality projects. Implemented the Data Governance solution for one project. Ability to define the data catalog, business glossary, and data lineage for the source data. Experience in using cloud-based data governance tools. Hands-on experience on Data Governance tool Atlan; if not, similar tools like Collibra, Alation, Informatica, Talend, etc. Candidate should be versatile in communication with internal and external stakeholders. Knowledge on the Data Governance to implement the process changes at source systems. Candidate should have experience on SFDC/NetSuite integration data quality issues. It's good to have candidate having the experience on data visualization space. Knowledge about master data solution implementation is a plus.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges . If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment . Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Assistant Vice President, Solution Architect! We are seeking a highly skilled and experienced Solution Architect specializing in Data Governance to join our dynamic team. The ideal candidate will play a pivotal role in designing , developing , and implementing the technical architecture and infrastructure necessary to support the organization&rsquos data governance framework . This role requires a deep understanding of data architecture , data management , and data governance best practices and involves working closely with IT, data management teams , and business units to ensure that data governance tools and solutions are effectively integrated and maintained . Responsibilities : 1. Technical Architecture Design: Design and develop the technical architecture for data governance solutions , including data quality , metadata management , data lineage , and data cataloging Ensure that data governance solutions align with the overall enterprise architecture and IT strategy . 2. Tool Selection and Implementation: Evaluate and recommend data governance tools and technologies (e.g., Collibra , Informatica, Alation , Atlan). Lead the implementation , configuration , and deployment of selected data governance tools . 3. Integration and Interoperability : Ensure that data governance solutions are integrated with existing data management systems , data warehouses , and other IT infrastructure . Work with IT teams to develop integration strategies and ensure interoperability of data governance tools . 4. Technical Standards and Best Practices: Establish and enforce technical standards and best practices for data governance . Ensure that technical solutions comply with industry standards and regulatory requirements . 5. Technical Troubleshooting and Support: Provide technical support and troubleshooting for data governance tools and systems . Address and resolve technical issues in a timely manner . 6. Security and Compliance: Implement technical controls to ensure data privacy and security . Ensure that data governance solutions comply with relevant data protection regulations (e.g., GDPR, CCPA). 7. Performance Monitoring and Optimization : Monitor the performance of data governance tools and infrastructure . Optimize system performance and ensure high availability and reliability of data governance solutions . 8. Experience in GenAI project Qualifications we seek in you! Minimum Qualifications Education: Bachelor%27s or Master&rsquos degree in Computer Science, Information Management, or a related field . Experience: Relevant experience with minimum e xperience in data governance , data management , or a related role . Proven experience in designing and implementing at least 2 data governance solutions including data privacy solutions . Strong hands -on experience with data governance tools (e.g., Collibra , Informatica EDC/Axon/CDGC, Alation , Atlan, etc.) is required . Good to have experience with data privacy tools (e.g., Big ID, OneTrust , etc.) Skills: Strong understanding of data governance principles and best practices . Excellent knowledge of data privacy regulations and compliance requirements . Strong understanding of data management , data quality , metadata management , data lineage , and data integration techniques Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data lakes Strong analytical and problem- solving skills . Excellent communication and interpersonal skills . Ability to work collaboratively with cross-functional teams . Proactive and self-motivated with the ability to drive initiatives independently . Certifications : Relevant technical certifications from Collibra , Informatica, Alation , Atlan, etc. Relevant certifications in data governance , data management , or cloud technologies are a plus (e.g., DCAM, CDMP, AWS/Azure Certified Solutions Architect ). Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up . Let&rsquos build tomorrow together . Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation . Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training .

Only Face to Face Interview in Mumbai mahape JD, Data Steward and Analyst JD Location : L&T Finance, Mahape, Navi Mumbai, India We are seeking a proactive and detail-oriented Data Steward and Analyst to drive metadata standardization and data ownership across enterprise systems. This role will be responsible for defining, maintaining, and enriching metadata assets including business glossaries, data dictionaries, and ownership hierarchies. The ideal candidate will collaborate with business and technical stakeholders to enhance data discoverability, trust, and compliance. Hands-on experience to implement, configure and maintain this Data Steward with Data Governance tools is essential, with preference given to those familiar with Ab Initio (preferred), Informatica, Talend, Atlan, Databricks, or Snowflake. Strong communication and collaboration skills are required to engage effectively with business and application stakeholders across L&T Finance. If you're passionate about building robust data governance frameworks and thrive in a dynamic environment, this is an excellent opportunity to advance your career. WHO WE ARE L&T Finance is one of Indias leading Non-Banking Financial Companies (NBFCs), known for its innovation-driven lending solutions across retail, rural, and infrastructure finance. With a strong commitment to digital transformation and data-led decision making, we offer a dynamic workplace where your contributions shape the financial future of millions. Join us to be a part of an organization that values growth, integrity, and impact. PROFESSIONAL SUMMARY Detail-oriented Data Steward / Analyst with 24 years of experience in metadata governance, business glossary management, and data ownership frameworks in financial services. Adept at defining and maintaining enterprise metadata to support regulatory compliance, reporting accuracy, and data democratization. Proven ability to work across business and technology teams; familiarity with Ab Initio is an added advantage. RESPONSIBILITIES Define, maintain, and govern enterprise-wide Business Glossary and Metadata Hub, ensuring consistent and standardized definitions across domains. Collaborate with Data Owners, SMEs, and Data Architects to assign data ownership, stewardship roles, and accountability for critical data assets. Support ongoing metadata curation and enrichment efforts, ensuring metadata completeness, quality, and alignment with business objectives. Establish workflows for metadata onboarding, change management, versioning, and lifecycle governance. Work closely with Data Governance, Risk, Compliance, and IT teams to support data classification, policy enforcement, and regulatory alignment. Assist in generating data lineage documentation and support catalogue integration efforts. Provide periodic reports and metrics on metadata completeness, glossary usage, and stewardship activities. Champion metadata awareness and drive data literacy initiatives across business units. Guide adoption and optimization of data governance tools like Ab Initio (Preferred), Informatica, Atlan, or Snowflake. Define roles and responsibilities for data stewards and custodians. Train and evangelize data governance practices across departments. Support audit and compliance reporting through accurate data lineage and usage logs. Ensure business continuity with proper data backup, archival, and purging strategies. Align governance goals with broader digital transformation and analytics strategies. TECHNICAL SKILLS Technical Skills: Strong understanding of Data Governance principles , metadata management , and data stewardship frameworks . Hands-on experience with Business Glossary , Metadata Hub , or any metadata management/collaboration tool (e.g., Collibra, Informatica, Alation). Excellent documentation, communication, and stakeholder engagement skills. Working knowledge of data modelling , data lineage , and data quality concepts. Detail-oriented, self-motivated, and comfortable working across business and technology teams. Understanding of Indian regulatory compliance standards (e.g., RBI guidelines , CKYC , Aadhaar , credit bureau data usage ). Familiarity with data modelling , metadata management , and ETL/ELT pipelines . Proficient in querying and validating data using SQL or similar languages. Experience working in or with data warehouse environments like BigQuery , or GCP-based lakes . Shell Scripting, Python, JSON, Java 8 & above, Spring Boot, REST APIs, GCP, Debugging skills, Design. GEN AI, LLM, RAG, and Agentic RAG are not mandatory but, preferred. 1.) Collaboration & Communication: Proven ability to collaborate with cross-functional teams including business, compliance, risk, and engineering. Strong documentation and requirement gathering skills to align technical governance with business objectives. Skilled in stakeholder management and articulating data governance value to non-technical audiences. Experience driving adoption of governance practices across enterprise functions. 2.) Personality Traits & Leadership: Detail-oriented with a strong sense of data integrity and accuracy. Self-driven , with the ability to take ownership and lead governance initiatives independently. Process-oriented thinker with a structured approach to problem-solving. Influencer with the ability to promote data discipline across teams. Demonstrates professional integrity , especially while handling sensitive financial and customer data. Adaptable to change and comfortable working in a fast-paced NBFC environment . QUALIFICATIONS BE/B. Tech and/or M. Tech in any discipline 2-4 years of familiarity or working knowledge of Ab Initio Metadata Hub and Ab Initio Business Glossary is a strong plus (but not mandatory). Exposure to cloud data platforms (AWS, GCP, or Azure) and modern data stacks is an advantage. Strong problem-solving skills. Good collaboration skills. Good communication skills.

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we are a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth bringing real positive changes in an increasingly virtual world, driving us beyond generational gaps and disruptions of the future. We are looking forward to hiring Informatica Cloud Services Professionals in the following areas: Client is seeking an experienced Data Quality, Data Governance, and Catalog Team member with over 7+ years of data quality and data cataloguing expertise primarily on Informatica to lead data governance, data catalog, and data quality efforts. In this pivotal role, you will ensure the integrity and quality of critical data within the product, collaborate closely with the Data & Analytics lead, and drive the development of efficient data processes on industry-known tools such as Informatica, Alation, Altan, or Collibra. Key Responsibilities: - 7-8 years of enterprise IICS data integration and management experience working with data management, EDW technologies, and data governance solutions. - Must have 5+ years of hands-on experience in Informatica CDQ, Data Quality experience, including executing at least 2 large Data Governance, Quality projects from inception to production, working as a technology expert. - Practical experience in configuring data governance resources including business glossaries, resources, dashboards, policies, and search. - Strong understanding of data quality, data cataloguing, and data governance best practices. - Thorough understanding of designing and developing data catalog & data assets on industry-known leading tools such as Open-source catalog tool, Informatica Cloud data catalog, Alation, Collibra, or Atlan. - Management of Enterprise Glossary, configuration of Collibra/Alation data catalog resources, data lineage, custom resources, relationships, data domains, and more. - Implementing Critical Data Elements to govern, corresponding Data Quality rules, policy, regulation, roles, Users, data source systems, dashboard/visualization for multiple data domains. - Good to have experience in administration and management of Collibra/Alation data catalogue tool, configuration of Data profiling and data lineage, and working with various stakeholders to understand Catalogue requirements and configure it in the tool. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models, optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles: - Flexible work arrangements, Free spirit, and emotional positivity. - Agile self-determination, trust, transparency, and open collaboration. - All Support needed for the realization of business goals. - Stable employment with a great atmosphere and ethical corporate culture.,

Responsibilities and Requirements 10+ years of total experience with 6+ years specifically in data governance Lead the implementation of data governance programs including MDM, data quality, cataloging, and policy enforcement Architect end-to-end data governance solutions using tools such as Collibra or Atlan Collaborate with business and IT stakeholders to define strategies, policies, and standards Perform data profiling, lineage analysis, and data quality assessments Develop and enforce workflows and frameworks for data lifecycle management Ensure compliance with regulatory requirements and provide ongoing governance support Experience in agile environments and team leadership in data governance initiatives Desirable: Hands-on experience with Mulesoft, MS Purview, and Profisee; relevant certifications preferred

About the Role: We are looking for an experienced Atlan Developer to join our Data Engineering team. The ideal candidate will have hands-on experience in implementing and customizing the Atlan platform, building integrations with upstream and downstream systems, and enabling seamless data discovery and governance across the organization. Responsibilities: Set up and configure Atlan for enterprise-scale deployment. Integrate Atlan with data platforms (e.g., Snowflake, BigQuery, Redshift, Databricks, dbt, Looker, Tableau, etc.). Develop and maintain Atlan connectors, APIs, and SDKs. Automate metadata ingestion from various sources using Atlan APIs. Customize Atlan to align with internal data governance policies. Work closely with Data Stewards, Engineers, and Analysts to define and manage metadata standards. Implement and manage data lineage, quality checks, and cataloging pipelines. Support data discovery and access control processes. Monitor Atlan platform performance and handle upgrades or maintenance. Required Skills: Strong experience with Atlans APIs, SDKs, and platform architecture. Solid knowledge of metadata management, data cataloging, and data governance. Hands-on experience with modern data stacks: Snowflake, dbt, Airflow, etc. Proficiency in Python and REST APIs. Experience integrating with BI tools like Looker, Power BI, Tableau. Familiarity with data lineage, data quality, and access control concepts. Understanding of data compliance (GDPR, HIPAA, etc.) is a plus. Excellent communication and documentation skills.

A Day in the Life Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes. Medtronic is hiring a Senior Data Governance Engineer. As a Senior engineer, you will be a key member of our Data Governance team, defining scope, assessing current data governance capabilities, building roadmaps to mature data governance capabilities. This role offers a dynamic opportunity to join Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. While you will start your employment with Medtronic, upon establishment of SpinCo or the transition of the Diabetes business to another company, your employment may transfer to either SpinCo or the other company, at Medtronic's discretion and subject to any applicable information and consultation requirements in your jurisdiction. Responsibilities may include the following and other duties may be assigned. Data Governance Strategy Development - responsible for the strategic development, architectural definition, and enterprise-wide data governance and data management initiatives supporting the delivery of data as a service Provide Data Governance and Data Management advisory expertise Responsible for the identification and evaluation of metadata platform alternatives, the development of the logical metadata framework architecture, and the definition and implementation of metadata maintenance processes Defining Data Governance operating models, roles, and responsibilities in collaboration with Medtronic requirements Responsible for the assessment and selection of Data Management tools landscape including: data profiling, data quality, metadata, MDM, rules engines, and pattern matching Refine and develop the data-centric approach and methodologies which may include areas such as: data strategy, data governance, data lineage, analytics, business intelligence, data architecture, data quality, master data management and data integration and delivery Assess current state capabilities, identify gaps versus leading practices, and recommend future state data requirements Identify opportunities for new workflows, third party glossary/metadata tools, database architectures, and third-party pre-existing data models. Work closely with business and technology stakeholders to assist in understanding and documenting data requirements, lineage, and partnering with IT data integration and data warehouse teams to ensure requirements are effectively executed Help define data modeling naming standards, abbreviations, guidelines, and best practices Enhance or design data model review processes based on business requirements Minimum Qualification: At least 5 years of experience developing / structuring an enterprise wide data governance organization and business process (operating models, roles, partner organizations, responsibilities) Hands-on experience with both the business side and IT side implementing or supporting an MDM and/or Data Warehouse and Reporting IT solutions Utilize strong business knowledge of the investment management industry and common data management operations Broad understanding of the role of data management within global markets organizations, information flow, and data governance issues Domain expertise in specific areas of Data Management such as: data strategy, data governance, data lineage, analytics, business intelligence, data architecture, data quality, master data management and data integration and delivery Note : Immedite or Notice period serving candidates preferred. If interested please share your updated CV on ashwini.ukekar@medtronic.com

Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes. Medtronic is hiring a Senior Data Governance Engineer. As a Senior engineer, you will be a key member of our Data Governance team, defining scope, assessing current data governance capabilities, building roadmaps to mature data governance capabilities. This role offers a dynamic opportunity to join Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. While you will start your employment with Medtronic, upon establishment of SpinCo or the transition of the Diabetes business to another company, your employment may transfer to either SpinCo or the other company, at Medtronic's discretion and subject to any applicable information and consultation requirements in your jurisdiction. Responsibilities may include the following and other duties may be assigned: Data Governance Strategy Development - responsible for the strategic development, architectural definition, and enterprise wide data governance and data management initiatives supporting the delivery of data as a service. Provide Data Governance and Data Management advisory expertise Responsible for the identification and evaluation of metadata platform alternatives, the development of the logical metadata framework architecture, and the definition and implementation of metadata maintenance processes. Defining Data Governance operating models, roles, and responsibilities in collaboration with Medtronic requirements. Responsible for the assessment and selection of Data Management tools landscape including: data profiling, data quality, metadata, MDM, rules engines, and pattern matching Refine and develop the data-centric approach and methodologies which may include areas such as: data strategy, data governance, data lineage, analytics, business intelligence, data architecture, data quality, master data management and data integration and delivery Assess current state capabilities, identify gaps versus leading practices, and recommend future state data requirements. Identify opportunities for new workflows, third party glossary/metadata tools, database architectures, and third party pre-existing data models. Work closely with business and technology stakeholders to assist in understanding and documenting data requirements, lineage, and partnering with IT data integration and data warehouse teams to ensure requirements are effectively executed. Help define data modeling naming standards, abbreviations, guidelines, and best practices Enhance or design data model review processes based on business requirements. Required Knowledge and Experience: At least 5 years of experience developing / structuring an enterprise-wide data governance organization and business process (operating models, roles, partner organizations, responsibilities). Hands-on with both the business side and IT side implementing or supporting an MDM and/or Data Warehouse and Reporting IT solutions. Utilize strong business knowledge of the investment management industry and common data management operations. Broad understanding of the role of data management within global markets organizations, information flow, and data governance issues. Domain expertise in specific areas of Data Management such as: data strategy, data governance, data lineage, analytics, business intelligence, data architecture, data quality, master data management and data integration and delivery.

Key Responsibilities Atlan Deployment & Connector Setup : Configure Atlan (SaaS or private cloud), set up connectors for Data Bricks, Hadoop, Power BI, and schedule metadata ingestion pipelines. Metadata Modeling & Domain Onboarding : Work with domain owners to map schemas, define custom metadata attributes (sensitivity, owner, SLA), and create standardized ingestion playbooks for new data domains. Lineage Instrumentation & Data Profiling : Instrument column-level lineage via OpenLineage or native Atlan connectors, configure automated profiling jobs (row counts, null rates) to surface data quality metrics. Governance Policy Implementation : Translate policies (PII detection, data retention) into Atlans rule engine, configure RBAC and SSO/LDAP integration, and implement encryption/masking for sensitive datasets. Monitoring & Troubleshooting : Build monitoring dashboards (CloudWatch, Grafana) to track ingestion health and API errors, diagnose pipeline failures, and coordinate fixes with Atlan Support and source-system teams. Required Qualifications 3-5 years implementing or supporting ( hands-on ) Atlans platform (catalog, lineage, policy automation) (Good to have: Collibra, Alation experience). Proficiency in Python or JavaScript for API integrations, strong SQL skills, and hands-on experience with ETL/ELT frameworks. Familiarity with cloud platforms (AWS/GCP), containerization (Kubernetes/Docker), and scripting infrastructure as code (Terraform, CloudFormation). Solid understanding of metadata concepts (technical vs. business metadata, lineage, profiling) and data classification schemes (PII, PCI, PHI). Strong stakeholder-engagement skills: able to run onboarding sessions and create clear runbooks. Bachelor’s in computer science, Data Engineering, or related field; relevant cloud or Atlan certifications a plus

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 Cloud Solution Delivery Lead Consultant to join our team in bangalore, Karn?taka (IN-KA), India (IN). Data Engineer Lead Robust hands-on experience with industry standard tooling and techniques, including SQL, Git and CI/CD pipelines mandiroty Management, administration, and maintenance with data streaming tools such as Kafka/Confluent Kafka, Flink Experienced with software support for applications written in Python & SQL Administration, configuration and maintenance of Snowflake & DBT Experience with data product environments that use tools such as Kafka Connect, Synk, Confluent Schema Registry, Atlan, IBM MQ, Sonarcube, Apache Airflow, Apache Iceberg, Dynamo DB, Terraform and GitHub Debugging issues, root cause analysis, and applying fixes Management and maintenance of ETL processes (bug fixing and batch job monitoring) Training & Certification . Apache Kafka Administration Snowflake Fundamentals/Advanced Training . Experience 8 years of experience in a technical role working with AWS At least 2 years in a leadership or management role About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

Job Title Atlan Data Governance Implementation Engineer (Hands-On Role) Key Responsibilities Atlan Deployment & Connect Required Skills and Qualifications Minimum 8+ years of relevant experience in data governance, data analytics, or related fields. Strong understanding of data governance principles and best practices. Experience with data profiling, validation, and cleansing tools and techniques. Ability to analyze data, identify patterns, and recommend solutions. Excellent communication and interpersonal skills. Ability to work independently and collaboratively in a team environment. Hands-on experience with relational databases and data warehouses. Knowledge of data quality metrics, dashboards, and reporting. Experience with data governance tools and technologies. Strong analytical and problem-solving skills. Proficient in Python, REST API development, Pandas, and Numpy. Experience with cloud platforms such as Azure, GCP, or AWS. Proficient in SQL and RDBMS. Let me know if you want me to tailor this further for any specific use!

If interested, please apply on the link : https://forms.office.com/r/3Qjxw7hwYj We are currently seeking a highly capable professional to join our team to who can lead Data Governance programs and initiatives like designing governance frameworks, policies and standards, implement governance strategies, data quality, security & compliance and privacy. As a successful Data Governance professional you will be responsible for : Define and drive the Data Governance Programmes and initiatives. Designing Data Governance and Data Quality Frameworks. Drive and Manage the implementation of Data Governance, Quality and Data Catalog projects. Hire and enable the team on Data governance. Strong verbal and written communication to Interface with varied senior stakeholders to convey and establish POV. Understand the Regulatory Landscape as per client requirements and collaborate to maintain enterprise data policies and standards. Design test solutions to ensure data quality principles are maintained as may be required. Design and deliver effective and actionable insights on data privacy and risk, proactively identifying opportunities to reduce risk through timely action and mitigate risk related to data management. Develop, Implement and Promote Governance Strategies, ensure quality, security & compliance and privacy of data assets. Be the Governance champion to lead the data steward, data owners and data users to communicate and reinforce the importance of data governance and support them to succeed in their role. Collaborate with cross-functional teams to define the governance policies, roles and responsibilities. Manage and report on the compliance with Data Privacy policies and escalation of issues and concerns Drive and Manage the implementation of data governance tools and technologies to support data catalogs, business glossary, technical & business meta data management, data lineage, metadata management, active metadata management and data quality monitoring. Required Skills: A Masters Degree in Business, Engineering, Sciences, IT, Computer Sciences or Statistics 12 to 16 years of Information systems experience along with 10 years of experience in data governance, data management, delivering data governance projects/program. CDMP Certification is mandatory. Strong understanding of data governance frameworks, methodologies, and industry standards like DAMA, GDPR, CCPA, DPDPA, BCBS 239, etc. Aware of industry trends and priorities and can apply to governance and policies. Interest in latest trends in AI & Data with Data Governance platforms. In-depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Strong experience and knowledge of data management tools and technologies, such as data governance platforms, data cataloging tools, data quality, lineage tools, security and Privacy tools. Strong team spirit, balanced by a healthy sense of autonomy Excellent communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels of the organization. Hands-on experience on any of the following Data Governance tools: Collibra, Atlan, Alation, Datahub, IDGC. Knowledge of relational databases, SQL is a must. Take responsibilities and Manage complex projects and be the trusted advisor of the clients and consultants in the Organization. Ability to work in a complex and constantly changing environment.

Candidate with 5–8 years of overall experience in software engineering, including 2-4 years of focused expertise in Data Governance practices such as data cataloguing, data lineage, data quality, data purging, data reliability, data accessibility. Required Candidate profile Strong experience with data governance tools (Ab Initio, Informatica, Atlan, Collibra, Snowflake,Databricks) Hands-on knowledge of data cataloguing, data lineage, data quality, and data access control Perks and benefits To be disclosed post interview

Job Title: Senior Data Engineer Location: Remote Job Type: Fulltime Experience Level: 7+ years About the Role: We are seeking a highly skilled Senior Data Engineer to join our team in building a modern data platform on AWS. You will play a key role in transitioning from legacy systems to a scalable, cloud-native architecture using technologies like Apache Iceberg, AWS Glue, Redshift, and Atlan for governance. This role requires hands-on experience across both legacy (e.g., Siebel, Talend, Informatica) and modern data stacks. Responsibilities: Design, develop, and optimize data pipelines and ETL/ELT workflows on AWS. Migrate legacy data solutions (Siebel, Talend, Informatica) to modern AWS-native services. Implement and manage a data lake architecture using Apache Iceberg and AWS Glue. Work with Redshift for data warehousing solutions including performance tuning and modelling. Apply data quality and observability practices using Soda or similar tools. Ensure data governance and metadata management using Atlan (or other tools like Collibra, Alation). Collaborate with data architects, analysts, and business stakeholders to deliver robust data solutions. Build scalable, secure, and high-performing data platforms supporting both batch and real-time use cases. Participate in defining and enforcing data engineering best practices. Required Qualifications: 7+ years of experience in data engineering and data pipeline development. Strong expertise with AWS services, especially Redshift, Glue, S3, and Athena. Proven experience with Apache Iceberg or similar open table formats (like Delta Lake or Hudi). Experience with legacy tools like Siebel, Talend, and Informatica. Knowledge of data governance tools like Atlan, Collibra, or Alation. Experience implementing data quality checks using Soda or equivalent. Strong SQL and Python skills; familiarity with Spark is a plus. Solid understanding of data modeling, data warehousing, and big data architectures. Strong problem-solving skills and the ability to work in an Agile environment.

Looking for a Data Governance expert for the development of a metadata management system solution. Should be able to streamline the curation of metadata with custom scripts to upload available metadata to the API to achieve a deeper understanding of their catalog content and user base using custom dashboards to track adoption. Responsible for the implementation and oversight of the Companys data management goals, standards, practices, process, and technologies. Experience in establishing data connections for relevant schemas, defining data stewards role & responsibilities for the scope of the data catalog. Define roles and responsibilities related to data governance and ensure clear accountability for stewardship of the company’s principal information assets To properly onboard the data catalog, you should be able to conduct a data domain team assessment, discover the availability & completeness of each team’s metadata, and develop a process for working with and onboarding data domain teams. Be the point of contact for Data Governance queries, including escalation point for client concerns. Coordinate the resolution of data integrity gaps by working with the business owners and IT. Ability to work in an agile environment with an iterative approach to development. Skills and Qualifications: Bachelor's and/or master’s degree in computer science or equivalent experience. Must have total 6+ yrs. of IT experience and 4+ years' experience in Data Cataloging & Data Governance projects. Programming skills (sufficient to write SQL queries to validate test results in DW database). Proficient in SQL, Python, and must have strong understanding of databases and data structures. Experience with Application programming interface (API) development skills, essential in developing & running API scripts across multiple devices, databases, and servers, working with REST, and open API technologies. Proficient in working with Enterprise Data Catalog software like Alation, Collibra etc. Experience with dashboarding of reporting tools (Power BI, Tableau etc.) is a plus. Excellent analytical, problem-solving, communication and interpersonal skills. Ability to set priorities and multi-task in a fast-paced environment. Experience in metadata management - Business Glossary, Lineage, data dictionaries, ETL is essential. Ability to work independently and productively under pressure. Strong organizational skills and decision-making ability

Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes. Medtronic is hiring a Senior Data Governance Engineer. As a Senior engineer, you will be a key member of our Data Governance team, defining scope, assessing current data governance capabilities, building roadmaps to mature data governance capabilities. This role offers a dynamic opportunity to join Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. While you will start your employment with Medtronic, upon establishment of SpinCo or the transition of the Diabetes business to another company, your employment may transfer to either SpinCo or the other company, at Medtronic's discretion and subject to any applicable information and consultation requirements in your jurisdiction. Responsibilities may include the following and other duties may be assigned: Data Governance Strategy Development - responsible for the strategic development, architectural definition, and enterprise wide data governance and data management initiatives supporting the delivery of data as a service. Provide Data Governance and Data Management advisory expertise Responsible for the identification and evaluation of metadata platform alternatives, the development of the logical metadata framework architecture, and the definition and implementation of metadata maintenance processes. Defining Data Governance operating models, roles, and responsibilities in collaboration with Medtronic requirements. Responsible for the assessment and selection of Data Management tools landscape including: data profiling, data quality, metadata, MDM, rules engines, and pattern matching Refine and develop the data-centric approach and methodologies which may include areas such as: data strategy, data governance, data lineage, analytics, business intelligence, data architecture, data quality, master data management and data integration and delivery Assess current state capabilities, identify gaps versus leading practices, and recommend future state data requirements. Identify opportunities for new workflows, third party glossary/metadata tools, database architectures, and third party pre-existing data models. Work closely with business and technology stakeholders to assist in understanding and documenting data requirements, lineage, and partnering with IT data integration and data warehouse teams to ensure requirements are effectively executed. Help define data modeling naming standards, abbreviations, guidelines, and best practices Enhance or design data model review processes based on business requirements. Required Knowledge and Experience: At least 5 years of experience developing / structuring an enterprise-wide data governance organization and business process (operating models, roles, partner organizations, responsibilities). Hands-on with both the business side and IT side implementing or supporting an MDM and/or Data Warehouse and Reporting IT solutions. Utilize strong business knowledge of the investment management industry and common data management operations. Broad understanding of the role of data management within global markets organizations, information flow, and data governance issues. Domain expertise in specific areas of Data Management such as: data strategy, data governance, data lineage, analytics, business intelligence, data architecture, data quality, master data management and data integration and delivery.

We are looking for an experienced Senior Data Engineer to lead the development of scalable AWS-native data lake pipelines , with a strong focus on time series forecasting , upsert-ready architectures , and enterprise-grade data governance . This role demands end-to-end ownership of the data lifecycle from ingestion to partitioning, versioning, QA, lineage tracking, and BI delivery. The ideal candidate will be highly proficient in AWS data services , PySpark , and versioned storage formats such as Apache Hudi or Iceberg . A strong understanding of data quality , observability , governance , and metadata management in large-scale analytical systems is critical. Roles & Responsibilities Design and implement data lake zoning (Raw Clean Modeled) using Amazon S3, AWS Glue, and Athena. Ingest structured and unstructured datasets including POS, USDA, Circana, and internal sales data. Build versioned and upsert-ready ETL pipelines using Apache Hudi or Iceberg. Create forecast-ready datasets with lagged, rolling, and trend features for revenue and occupancy modeling. Optimize Athena datasets with partitioning, CTAS queries, and S3 metadata tagging. Implement S3 lifecycle policies, intelligent file partitioning, and audit logging for performance and compliance. Build reusable transformation logic using dbt-core or PySpark to support KPIs and time series outputs. Integrate data quality frameworks such as Great Expectations, custom logs, and AWS CloudWatch for field-level validation and anomaly detection. Apply data governance practices using tools like OpenMetadata or Atlan, enabling lineage tracking, data cataloging, and impact analysis. Establish QA automation frameworks for pipeline validation, data regression testing, and UAT handoff. Collaborate with BI, QA, and business teams to finalize schema design and deliverables for dashboard consumption. Ensure compliance with enterprise data governance policies and enable discovery and collaboration through metadata platforms. Preferred Candidate Profile 9-12 years of experience in data engineering. Deep hands-on experience with AWS Glue, Athena, S3, Step Functions, and Glue, Data Catalog. Strong command over PySpark, dbt-core, CTAS query optimization, and advanced partition strategies. Proven experience with versioned ingestion using Apache Hudi, Iceberg, or Delta Lake. Experience in data lineage, metadata tagging, and governance tooling using OpenMetadata, Atlan, or similar platforms. Proficiency in feature engineering for time series forecasting (lags, rolling windows, trends). Expertise in Git-based workflows, CI/CD, and deployment automation (Bitbucket or similar). Strong understanding of time series KPIs: revenue forecasts, occupancy trends, demand volatility, etc. Knowledge of statistical forecasting frameworks (e.g., Prophet, GluonTS, Scikit-learn). Experience with Superset or Streamlit for QA visualization and UAT testing. Experience building data QA frameworks and embedding data validation checks at each stage of the ETL lifecycle. Independent thinker capable of designing systems that scale with evolving business logic and compliance requirements. Excellent communication skills for collaboration with BI, QA, data governance, and business stakeholders. High attention to detail, especially around data accuracy, documentation, traceability, and auditability.