Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Mid-level data engineer at a known employer, common title, metro focus, and broad required skills raise competition.
Platform-focused Databricks/Snowflake and cloud infrastructure skills are moderately transferable across industries.
Explicit 4–6 years plus mandatory Databricks/Snowflake, AWS, and Terraform skills tighten shortlisting.
Lead architectural design and execution to consolidate separate Databricks workspaces or Snowflake accounts into a unified data platform.
Unify metadata catalogs, security models, and access controls across merged data environments to ensure consistent governance.
Refactor and migrate legacy ETL/ELT pipelines and workflows, optimize cloud resources by identifying overlaps during tenant consolidation.
4-6 years of experience in Data Platform Engineering or Data Architecture.
Proven experience managing AWS cloud infrastructure components including S3, IAM, CloudTrail, VPC, and Route53 with cross-account access expertise.
Deep expertise in either Databricks platform administration (workspace, Delta Lake, Photon) OR Snowflake (multi-account management, Snowpark, Virtual Warehouses).
Strong skills in Infrastructure as Code (Terraform), Python programming, and SQL for auditing and refactoring data pipelines.
Experienced technical lead capable of planning and coordinating complex data platform migrations and cloud account consolidations.
Proficient in managing and optimizing cloud data platforms with attention to security, governance, and cost efficiency.
Background in working with cross-functional teams to audit, refactor, and migrate distributed data workflows and infrastructure.