Sr Data Engineer

Senior Data Engineer

This isnt just a technical role; youll be a key influencer, shaping our company-wide data strategies and fostering a culture of innovation and operational excellence. Your expertise in Snowflake configuration, Looker integration, and data segregation will directly impact how we manage and leverage our data to drive business impact. Were looking for someone who stays ahead of industry trends and integrates best practices into our data management approach.

• Design and Implement Data Governance in Snowflake:

• Establish Robust Access Controls:

• Configure Looker for Secure Reporting:

• Enforce Cross-Tenant Data Segregation:

• Automate Data Operations and Governance:

• Build a Unified Customer Profile:

• Collaborate with Stakeholders:

• Drive Data-Driven Roadmaps:

• 3+ years of relevant experience

• Proven expertise in Snowflake setup and configuration

• Strong experience with implementing data access controls and tagging frameworks

• Hands-on experience configuring Lookers access model

• define and enforce data boundaries and segregation across business units

• developing automation scripts and pipelines

• Deep understanding of data modeling principles, including schema design and dimensional data modeling, with experience in writing efficient SQL queries.

• Experience with data processing, storage, and querying technologies (e.g., Hadoop, Spark, Flink Streaming, BigQuery, Dataflow, Airflow, Bigtable, Spanner, and Dynamo) and object-oriented programming languages (e.g., Python, Java, C++).

• Experience with semantic search (e.g., Vertex AI Search, AWS Cloud Search) and knowledge graphs (e.g., Neo4j) to integrate data with generative AI experiences.

• Ability to architect and develop scalable data solutions, staying ahead of industry trends and integrating best practices in data engineering.

• Excellent technical communication skills, with the ability to collaborate with cross-functional teams and drive technical innovation in data engineering.

• Bachelors/Masters in a STEM field.

• Experience working with terabyte to petabyte scale data.

• Ability to thrive in fast-paced environments at a large-scale company.