Senior SAP Data Engineer - Databricks & Delta Lake

Lumenalta

United States

Remote

USD 120,000 - 180,000

Full time

3 days ago

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Job summary

Lumenalta is seeking a senior data engineer to build and optimize SAP data ingestion pipelines on Databricks. You will transform landed data into clean Delta tables using PySpark and SQL, implement incremental and CDC patterns, and ensure data reconciliation between SAP and Databricks.

You will collaborate with client teams and document reusable patterns. The role requires strong communication, deep experience with SAP data, and a remote US-facing environment with a focus on scalable data

Qualifications

5+ years of data engineering experience in production pipelines.
Hands-on experience with SAP data extraction and modeling from ECC or S/4HANA.
Experience with Databricks, PySpark, SQL, and Delta Lake.
Familiarity with incremental and CDC ingestion patterns.
Knowledge of SAP extraction approaches (ODP, BW extractors, SLT, SAP Datasphere).
Strong written communication and ability to document patterns for reuse.

Responsibilities

Build ingestion pipelines for SAP data landing in Databricks following client architecture.
Land SAP data into Delta tables using PySpark and SQL.
Implement incremental and CDC patterns and validate deltas.
Reconcile Databricks outputs with SAP data for accuracy.
Identify performance issues and propose improvements to ingestion architecture.
Document reusable patterns, configurations, and runbooks.