Cloud Engineer

Talentify; Hopkins (MN); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Talentify seeks a Data Lakehouse Platform Engineer to design and implement scalable data lakehouse patterns and ingestion pipelines. The role emphasizes governance, lineage, and compliance while enabling BI and analytics at enterprise scale.

Hybrid in-office schedule with preference for Minneapolis, Denver, Brookfield, Atlanta, and Irving hubs; strong Python, Spark, and cloud data platform experience are required to drive end-to-end data solutions.

Qualifications

• Hands-on experience with data lakehouse patterns and enterprise-scale data models.
• Expertise in real-time and batch data ingestion architectures (Kafka/Event Hubs, Spark, Delta Lake).
• Experience with data governance: lineage, cataloging, data quality controls, and regulatory compliance.

Responsibilities

• Design and implement data lakehouse ingestion pipelines and storage strategies.
• Collaborate with BI, analytics, and data science teams to enable enterprise data use cases.

Skills

Data lakehouse patterns

Real-time ingestion

Data governance

AWS data platform

Azure data platform

PostgreSQL

Oracle

DB2

Collibra

Databricks

Delta Lake

Snowflake

Spark

ETL Tools

CI/CD pipelines

Python

Tools

Databricks

Delta Lake

Collibra

Snowflake

Spark

ETL Tools

PostgreSQL

Oracle

DB2

AWS

Azure

CI/CD pipelines

Job description

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.”