Senior Data Engineer (Azure)

TL;DR

Senior Data Engineer (Azure/Snowflake): Designing, developing, and optimizing an enterprise data engineering ecosystem for global water solutions with an accent on scalable data pipelines and ingestion strategies. Focus on leveraging Azure Fabric, Snowflake, and Databricks to enable advanced analytics and AI/ML workloads.

Location: Remote within the United States or hybrid in North Andover, MA or Dallas, TX

Salary: $141,000 - $168,000 yearly

Company

A leading global provider of sustainable, smart, and connected water solutions.

What you will do

• Lead the design and architecture of large-scale data pipelines to support analytics, reporting, and AI/ML workloads.
• Own end-to-end data ingestion frameworks, ensuring scalability and fault tolerance across batch and streaming pipelines.
• Develop complex ETL/ELT solutions using Databricks, ADF, and Spark-based pipelines.
• Integrate diverse data sources including SAP S/4HANA, APIs, and cloud systems.
• Define and enforce data engineering best practices, CI/CD processes, and DevOps automation.
• Provide technical mentorship to junior and mid-level data engineers through code and design reviews.

Requirements

• 10+ years of experience in data engineering and enterprise data solutions design.
• Expert-level knowledge of Azure platform services, specifically Azure Fabric.
• Strong hands-on experience with Snowflake and Databricks.
• Experience integrating SAP data (S/4HANA or BW) with cloud data platforms.
• Deep understanding of data modeling (Kimball/Inmon) and metadata management.
• Must successfully establish employment eligibility within the United States.

Culture & Benefits

• Comprehensive medical, dental, and retirement benefits.
• Paid maternity/paternity leave and 10 paid holidays.
• Continued professional development and educational reimbursement.
• Fitness reimbursements and employee discount programs.
• Team-oriented culture focused on a growth mindset and global collaboration.