Elvis Eckardt Recruitment & Sales Solutions LimitedAlpharetta, GA
Senior Data Engineer – Azure & Databricks Industry: Technology Consulting / Digital Transformation Role Level: Lead II – Software Engineering Location: Alpharetta, Georgia (USA) Employment Type: Full-Time About the Role: We are seeking an experienced Senior Data Engineer – Azure & Databricks with a proven track record (8+ years) of designing, building, and scaling modern data platforms within the Azure ecosystem . This role is ideal for someone who thrives in complex enterprise environments, is deeply hands-on with Databricks and Spark, and can lead end-to-end data engineering initiatives from architecture to implementation. You will be responsible for building robust, high-performance data pipelines, establishing engineering best practices, and collaborating with cross-functional teams to deliver reliable, scalable data solutions across both batch and real-time streams. Key Responsibilities: Architect, design, and implement scalable data platforms and pipelines using Azure and Databricks . Build and optimise ingestion, transformation, and processing workflows for batch and real-time (streaming) use cases. Work extensively with ADLS , Delta Lake , and Spark (Python/PySpark) to enable large-scale data engineering capabilities. Lead the development of complex ETL/ELT pipelines , ensuring performance, reliability, and code quality. Design conceptual, logical, and physical data models to support analytics and operational workloads. Work with relational and lakehouse systems, including PostgreSQL and Delta Lake . Define, implement, and enforce best practices for data governance , security , quality , and architecture standards . Partner closely with architects, data scientists, analysts, and business teams to translate requirements into scalable technical solutions. Troubleshoot production issues, drive performance optimisation, and support continuous platform improvements. Mentor junior engineers and contribute to the creation of reusable components and engineering standards. Required Qualifications: 8+ years of hands-on data engineering experience in enterprise environments. Strong expertise in Azure services , particularly Azure Databricks, Azure Functions, and (preferably) Azure Data Factory. Advanced proficiency in Apache Spark with Python (PySpark) . Strong SQL skills, including query optimisation and performance tuning . Deep experience with ETL/ELT methodologies , scheduling, and data orchestration. Hands-on expertise with Delta Lake (ACID, schema evolution, performance tuning). Strong understanding of data modelling (normalised, dimensional, lakehouse). Proven experience with batch and streaming technologies such as Kafka or Event Hub. Solid grasp of data architecture , distributed systems, and cloud-native design patterns. Ability to design and evaluate end-to-end technical solutions and recommend best-fit architectures. Excellent analytical, problem-solving, and communication skills. Ability to collaborate across teams and lead technical discussions. Preferred Skills: Experience with CI/CD tools such as Azure DevOps and Git. Familiarity with Infrastructure-as-Code (Terraform, ARM). Exposure to data governance and metadata cataloguing tools (e.g., Azure Purview). Experience supporting machine learning or BI workloads on Databricks. Benefits: For Full-Time, Regular Employees Minimum 10 days paid vacation annually 6 days paid sick leave (prorated for new hires) 10 paid holidays Paid bereavement and jury duty leave Eligibility for 401(k) Retirement Plan with employer match Medical, dental, and vision insurance eligibility (employee + dependents) Company-paid: Basic life insurance Accidental death & disability coverage Short- and long-term disability Access to HSA and FSA programs (healthcare, dependent care, commuting) Application Process: To apply, please submit your CV and a cover letter detailing your relevant experience and qualifications for the role. Applications will be reviewed on a rolling basis, so early submissions are encouraged. Equal Opportunity Employer: We value diversity and are committed to creating an inclusive work environment. We encourage applicants from all backgrounds to apply. Contact: Elvis Eckardt
Posted 3 weeks ago