Sr. Data Engineer

Location: Midtown Atlanta, GA (Onsite 4 days/week)

Seeking a Senior Data Engineer to join the core Symphony Platform Team
. This is a highly technical, hands‑on engineering role focused on building, optimizing, and supporting enterprise‑scale data pipelines and data warehousing solutions.

The ideal candidate is a strong independent contributor who thrives in a code‑first environment and has deep expertise in Apache Spark, Scala, SQL, and Azure Synapse
. This role requires ownership of complex data engineering initiatives, post‑production support, performance optimization, and modernization efforts across the platform.

This position follows a local‑first operating model and requires onsite presence in Midtown Atlanta four days per week.

• Design, develop, and maintain scalable data pipelines using Scala
  , SQL
  , and Apache Spark
• Support and monitor production data pipelines following Phase 1 go‑live
• Troubleshoot and resolve pipeline failures, data quality issues, and performance bottlenecks
• Lead refactoring, cleanup, and modernization of existing codebases
• Optimize data processing solutions for scalability, reliability, and efficiency
• Develop reusable frameworks, patterns, and automation capabilities
• Work within a metadata‑driven architecture environment
• Ensure ETL business logic remains code‑based while orchestration is used strictly for scheduling
• Manage source code and collaboration through Git Hub
• Participate in discovery and analysis sessions to derive business requirements directly from data
• Collaborate with cross‑functional teams to deliver high‑quality data solutions

• 8 10+ years of hands‑on Data Engineering experience
• Deep understanding of Apache Spark architecture and core concepts
• Strong programming experience with Scala and/or Java
• Advanced SQL development and query optimization skills
• Experience building enterprise data solutions within Azure Synapse
• Strong understanding of data warehousing principles and large‑scale data integration
• Experience using Git Hub for source control and code management
• Proven ability to independently design and deliver production‑grade data solutions

• Experience with Microsoft Fabric
• Experience working with marketing data
  , consumer analytics, or consumer packaged goods (CPG) datasets
• Familiarity with metadata‑driven architectures
• Experience building reusable frameworks and platform‑level engineering solutions