Cloud Engineer

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.”