Lead Data Engineer - Databricks & AWS jobs in United States
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SGI · 1 week ago

Lead Data Engineer - Databricks & AWS

SGI is seeking a Lead Databricks Engineer to support large-scale data platform initiatives focused on data modernization, cloud migration, and advanced analytics. This hands-on senior role requires deep Databricks expertise and strong AWS experience to partner closely with business and technical stakeholders.

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Responsibilities

Lead the design and implementation of enterprise-scale Databricks solutions on AWS
Drive data modernization initiatives, including lift-and-shift and re-architecture of legacy data platforms
Build and optimize data pipelines using Python, PySpark, and SQL
Design and manage Delta Lake architectures and implement Unity Catalog for governance and access control
Develop and support streaming and batch data workloads
Configure and optimize Databricks clusters and serverless compute for performance and cost
Integrate Databricks with upstream and downstream systems (APIs, data sources, analytics tools)
Partner with stakeholders to gather user and business requirements and translate them into technical solutions
Implement observability, monitoring, and cost controls , including usage, volume, and pricing metrics
Support data domains related to billing, accounting, pricing, and volume metrics
Provide technical leadership, best practices, and mentorship to engineering teams

Qualification

DatabricksAWSPythonPySparkSQLDelta LakeUnity CatalogStreaming dataKubernetesCommunication skillsTechnical leadership

Required

8+ years of experience in data engineering, with recent hands-on focus on Databricks
Strong experience deploying Databricks on AWS
Advanced coding skills in Python, PySpark, and SQL
Deep knowledge of Delta Lake, Unity Catalog, and Databricks workspace governance
Experience with streaming data (Structured Streaming, Kafka, or similar)
Strong understanding of Databricks cluster management, serverless compute, and performance tuning
Experience integrating Databricks with enterprise systems and data sources
Proven ability to work directly with business and technical stakeholders
Strong communication skills and ability to lead technical discussions
Experience with AKS / Kubernetes environments

Preferred

Experience supporting financial data domains (billing, accounting, pricing, usage metrics) is highly preferred
Databricks or AWS certifications
Consulting or contracting background in large enterprise environments

Company

SGI

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Source Group International is a global, award-winning technology talent partner trusted by ambitious enterprise businesses and professionals worldwide.

Funding

Current Stage
Growth Stage

Leadership Team

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Gavin Tew
Co-Founder
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Lawrence Hargreaves
Co-Founder
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