Product Architect
About The Position
Lead the architecture, deployment, and integration of ATLAN across enterprise data ecosystems (cloud, on-prem, hybrid). • Work with data engineering, governance, and platform teams to connect ATLAN with various data sources, pipelines, and BI tools. Own and manage the underlying ATLAN infrastructure, ensuring scalability, performance, and reliability. Provide technical guidance on metadata ingestion, lineage tracking, and access controls. Partner with data stewards and governance stakeholders to drive adoption and ensure data discoverability.
Requirements
- Experience with Atlan, Data Bricks, IDMC, dbt cloud, EBX or another MDM platform
- Maintain and test all technical functionality of Atlan platform
- SQL and preferably Python skills
- Build, configure and maintain data catalog
- Test and validate crawled data for assets, & lineage
- Working knowledge of DG frameworks and practical experience with implementation
- Technical writing and documentation of platform functionality
- Good communication skills and ability to interact with platform engineers and architecture teams with confidence
- Minimum 3+ Years' working experience working with Atlan.
- Hands-on product experience with ATLAN (deployment, configuration, administration).
- Proven experience integrating ATLAN or similar data catalog tools with multiple platforms (Databricks, Snowflake, BigQuery, etc.).
- Strong understanding of data infrastructure, metadata management, APIs, and security models.
- Ability to troubleshoot integration issues and scale platform performance.
Responsibilities
- Lead the architecture, deployment, and integration of ATLAN across enterprise data ecosystems (cloud, on-prem, hybrid).
- Work with data engineering, governance, and platform teams to connect ATLAN with various data sources, pipelines, and BI tools.
- Own and manage the underlying ATLAN infrastructure, ensuring scalability, performance, and reliability.
- Provide technical guidance on metadata ingestion, lineage tracking, and access controls.
- Partner with data stewards and governance stakeholders to drive adoption and ensure data discoverability.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Professional, Scientific, and Technical Services
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
