Senior Data Engineer (Modern Data Platforms)

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Improving Corporate Services, is seeking the following. Apply via Dice today!

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 is ideal for a hands-on leader who can operate at both a strategic and technical level—someone who can guide delivery teams and build strong client relationships.

You’ll play a critical role in shaping enterprise data solutions while leveraging technologies across Azure, AWS, Databricks, and Microsoft Fabric to deliver scalable, high-performing data platforms.

What You’ll Do

• Lead the design and implementation of modern data platforms (lakehouse, data mesh, warehouse modernization)
• Define data platform strategy, roadmaps, and best practices for clients
• Build solutions using Azure (Fabric, Synapse, Data Factory), AWS (S3, Glue, Redshift), and Databricks
• Guide teams in building scalable, secure, and cost-efficient data pipelines and platforms
• Serve as a trusted advisor to clients, translating business needs into technical solutions
• Establish and enforce data governance, security, and compliance frameworks
• Lead key decisions around data modeling, ingestion patterns, storage, and processing
• Drive adoption of modern engineering practices (CI/CD, DevOps, Infrastructure as Code)
• Mentor and coach engineers, fostering technical growth and delivery excellence
• Participate in pre-sales, solutioning, and proposal development as needed
  
  

What We’re Looking For

• Strong experience in data engineering or related roles
• Proven experience delivering enterprise-scale data platforms in the cloud
• Deep expertise in Azure and/or AWS ecosystems
• Strong hands-on experience with Databricks and/or Microsoft Fabric
• Advanced proficiency in Python, SQL, and distributed data processing (Spark/PySpark)
• Strong understanding of data modeling (Kimball, Data Vault, lakehouse patterns)
• Experience with ETL/ELT design, orchestration, and optimization at scale
• Knowledge of data governance, security, and regulatory considerations
• Experience leading technical teams and mentoring engineers
• Excellent communication skills with the ability to engage both technical and business stakeholders
  
  

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?

At Improving, we believe in building a culture rooted in trust, excellence, and continuous growth. As a Senior Data Engineer, you’ll have the opportunity to:

• 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