10 Atlan Jobs

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.