Open to all Onshore Vendors and Cognizant
Max Rate of ***
Hybrid In Office 3 days a week. Preference to Minneapolis, Denver, Brookfield, Atlanta, and Irving Hub locations
Data Lakehouse Platform Engineer
Hands-on experience with data lakehouse patterns (raw, cleaned/enhanced, curated/trusted, consumption), optimized storage formats, metadata-driven ingestion, and analytics-ready data models. Enables BI, reporting, customer extracts, data science, and other use cases at enterprise scale.
Expertise in real‑time and batch data ingestion architectures (Kafka/Event Hubs, Spark, Delta Lake, etc.), including leading design and management of tools/processes/services for comprehensive data ingestion and integration.
Experience with enterprise data governance frameworks, including data lineage, cataloging, business glossaries, and data quality controls. Ensures end‑to‑end traceability from source to consumption, improving data trust, auditability, and regulatory compliance.
Technical Skills (or similar/equivalent): AWS or Azure Data Platform Services, POSTGRES/ORACLE/DB2, COLLIBRA, DATABRICKS, DELTA LAKE, PYTHON, SNOWFLAKE, ETL TOOLS (SPARK, ETC), CI/CD PIPELINES SUPPORTING DATA LAKEHOUSE
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EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
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