Senior​/Lead Data Engineer

Senior/Lead Data Engineer

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Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human‑centered solutions for a better world. UST is a mission‑driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you’ll create a boundless impact that transforms your career—and the lives of people across the world.

We are looking for an experienced Senior/Lead Data Engineer with 8+ years of expertise in designing and delivering scalable, high‑performing data solutions on the Azure ecosystem. The ideal candidate will have deep hands‑on experience with Databricks, Spark, modern data lakehouse architectures, data modelling, and both batch and real‑time data processing. You will be responsible for driving end‑to‑end data engineering initiatives, influencing architectural decisions, and ensuring robust, high‑quality data pipelines.

• 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 Postgre
  
  SQL 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.

• 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.

• Experience with CI/CD tools such as Azure Dev Ops 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.

Role

Location:

Georgia

Compensation Range: $82,000–$123,000

Full‑time employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave annually (pro‑rated for new hires), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching. Employees and their US dependents are eligible for medical, dental, and vision insurance, as well as basic life insurance, accidental death and…