Azure Data Engineer

Job Title: Senior Data Engineer

Location: Alpharetta, GA

Duration: 12+ months

Term: FTE

Job Description:

Experience Desired: 8+ Years.

Required Skills & Experience:

• Architect, design, and implement scalable data platforms and pipelines on Azure and Databricks.
• Build and optimize data ingestion, transformation, and processing workflows across batch and real-time data streams.
• Work extensively with ADLS, Delta Lake, and Spark (Python) for large-scale data engineering.
• Lead the development of complex ETL/ELT pipelines, ensuring high quality, reliability, and performance.
• Design and implement data models, including conceptual, logical, and physical models for analytics and operational workloads.
• Work with relational and lakehouse systems including PostgreSQL and Delta Lake.
• Define and enforce best practices in data governance, data quality, security, and architecture.
• Collaborate with architects, data scientists, analysts, and business teams to translate requirements into technical solutions.
• Troubleshoot production issues, optimize performance, and support continuous improvement of the data platform.
• Mentor junior engineers and contribute to building engineering standards and reusable components.
• This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

What You Need:

• 8+ years of hands-on data engineering experience in enterprise environments.
• Strong expertise in Azure services, especially Azure Databricks, Functions, and Azure Data Factory (preferred).
• Advanced proficiency in Apache Spark with Python (PySpark).
• Strong command over SQL, query optimization, and performance tuning.
• Deep understanding of ETL/ELT methodologies, data pipelines, and scheduling/orchestration.
• Hands-on experience with Delta Lake (ACID transactions, optimization, schema evolution).
• Strong experience in data modelling (normalized, dimensional, lakehouse modelling).
• Experience in both batch processing and real-time/streaming data (Kafka, Event Hub, or similar).
• Solid understanding of data architecture principles, distributed systems, and cloud-native design patterns.
• Ability to design end-to-end solutions, evaluate trade-offs, and recommend best-fit architectures.
• Strong analytical, problem-solving, and communication skills.
• Ability to collaborate with cross-functional teams and lead technical discussions.

Preferred Skills:

• Experience with CI/CD tools such as Azure DevOps and Git.
• Familiarity with IaC tools (Terraform, ARM).
• Exposure to data governance and cataloging tools (Azure Purview).
• Experience supporting machine learning or BI workloads on Databricks.

Key Skills:

Azure, Databricks, ADF, Python