Improving is seeking a Senior Data Engineer to lead the design and delivery of modern, cloud-based data platforms for client engagements. This role blends strategic oversight with hands-on engineering, guiding delivery teams and cultivating strong client relationships across Azure, AWS, Databricks, and Microsoft Fabric.
Responsibilities
- Spearhead the design and rollout of contemporary data platforms, including lakehouse architectures, data mesh deployments, and warehouse modernization initiatives.
- Define data platform strategy, roadmaps, and established best practices for client environments.
- Develop solutions leveraging Azure services (Fabric, Synapse, Data Factory), AWS services (S3, Glue, Redshift), and Databricks.
- Guide delivery teams to build scalable, secure, and cost-efficient data pipelines and platforms.
- Act as a trusted advisor to clients, translating business needs into technical designs.
- Establish and enforce data governance, security, and compliance frameworks.
- Direct key decisions on data modeling, ingestion patterns, storage strategies, and data processing approaches.
- Promote adoption of modern engineering practices including CI/CD, DevOps, and Infrastructure as Code.
- Mentor and coach engineers to foster technical growth and delivery excellence.
- Contribute to pre-sales activities, solutioning, and proposal development as needed.
Requirements
- Extensive experience in data engineering or adjacent roles.
- Proven track record delivering enterprise-scale data platforms in cloud environments.
- Deep expertise across Azure and/or AWS ecosystems.
- Hands-on experience with Databricks and/or Microsoft Fabric.
- Advanced skills in Python, SQL, and distributed data processing with Spark or PySpark.
- Solid understanding of data modeling approaches (Kimball, Data Vault, lakehouse patterns).
- Experience designing, orchestrating, and optimizing ETL/ELT processes at scale.
- Knowledge of data governance, security, and regulatory considerations.
- Experience leading technical teams and mentoring engineers.
- Excellent communication skills for engaging both technical and business stakeholders.
Technologies
- Azure, Azure Synapse, Azure Data Factory, Azure Fabric, Microsoft Fabric
- S3, Glue, Redshift
- Databricks
- Python, SQL, Spark, PySpark
Benefits
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Professional development assistance
- Retirement plan
- Vision insurance
About the role
Improving is seeking a Senior Data Engineer to lead the design and delivery of modern, cloud-based data platforms for our clients. This role suits a hands-on leader who can operate at both strategic and technical levels, guiding delivery teams and building strong client relationships. You will shape enterprise data solutions while leveraging technologies across Azure, AWS, Databricks, and Microsoft Fabric to deliver scalable, high-performing data platforms.
Nice to have
- Experience with real-time streaming technologies (Kafka, Event Hubs, Kinesis)
- Familiarity with data mesh or domain-driven data approaches
- Experience with AI/ML data pipelines or MLOps
- Cloud certifications (Azure, AWS, Databricks)
- Experience in a consulting or client-facing environment
What success looks like
- You design and deliver scalable, future-proof data solutions
- You earn the trust of clients as a technical advisor
- You elevate the capabilities of your team through mentorship and leadership
- You help drive innovation and adoption of modern data practices
Why Improving?
- Influence enterprise data solutions for a diverse set of clients
- Work with modern, evolving technologies across multiple cloud platforms
- Grow your career through our PATH program and leadership opportunities
- Be part of a collaborative team that values both technical excellence and strong relationships
Pay
Salary: USD 150,000 – 175,000 per year
Work Location
Hybrid remote in Alpharetta, GA 30009
