Data Catalog Engineer AWS Data Lake/Data Warehouse

Seekify Global is looking for an experienced and driven Data Catalog Engineer to join the Data Engineering team. The ideal candidate should have a strong background in designing and implementing metadata and data catalog solutions specifically in AWS-centric data lake and data warehouse environments. As a Data Catalog Engineer, you will play a crucial role in improving data discoverability, governance, and lineage across the organization's data assets. Your key responsibilities will include leading the end-to-end implementation of a data cataloging solution within AWS, establishing and managing metadata frameworks for diverse data assets, integrating the data catalog with AWS-based storage solutions, collaborating with various project teams to define metadata standards and processes, developing automation scripts for metadata management, working closely with other data professionals to ensure data accuracy, and implementing access controls to comply with data privacy standards. The ideal candidate should possess at least 7-8 years of experience in data engineering or metadata management roles, with proven expertise in implementing data catalog solutions within AWS environments. Strong knowledge of AWS services such as Glue, S3, Athena, Redshift, EMR, Data Catalog, and Lake Formation is essential. Proficiency in Python, SQL, and automation scripting for metadata pipelines is required, along with familiarity with data governance and compliance standards. Experience with BI tools and third-party catalog tools is a plus. Preferred qualifications include AWS certifications, experience with data catalog tools like Alation, Collibra, or Informatica EDC, exposure to data quality frameworks, stewardship practices, and knowledge of data migration processes. This is a full-time position that requires in-person work.,