Data Lakehouse Platform Engineer

• Implement data lakehouse patterns for raw, cleaned, curated, and consumption-ready data.
• Design and manage real-time and batch data ingestion architectures using tools like Kafka, Spark, and Delta Lake.
• Develop and maintain optimized storage formats and metadata-driven ingestion processes.
• Contribute to an enterprise data governance framework, including data lineage, cataloging, and data quality controls.
• Ensure end-to-end data traceability from source to consumption to support auditability and compliance.
• Support the creation of analytics-ready data models for various business use cases.

Experience: Hands-on experience with data lakehouse patterns, data ingestion architectures (real-time and batch), and enterprise data governance frameworks.

Technical Skills: Proficiency with AWS or Azure Data Platform Services, Databricks, Delta Lake, Python, and Snowflake. Experience with ETL tools such as Spark, relational databases like PostgreSQL, Oracle, or DB2, and knowledge of Collibra. Familiarity with CI/CD pipelines supporting a data lakehouse environment is also required.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click for more details.