Sr. Data Engineer

Senior Data Engineer

We are seeking a Senior Data Engineer with 5+ years of experience designing, building, and scaling modern data platforms, data warehouses, and analytics ecosystems. The ideal candidate has deep expertise in dbt, Snowflake, cloud data warehousing, ETL/ELT pipelines, and data modeling, along with a proven ability to partner with business stakeholders to deliver high‐impact, analytics‐ready data products. This role is highly technical and hands-on, requiring strong SQL development, data architecture skills, and experience building governed, scalable transformation layers using modern data engineering best practices.

Key Responsibilities

• Architect, design, and build end‐to‐end data warehouses and analytics models across Sales, Marketing, Finance, Customer Support, and Product domains.
• Develop scalable dbt pipelines using medallion architecture (bronze/staging, silver/intermediate, gold/marts).
• Build incremental models, optimize SQL transformations, and reduce compute costs through performance tuning.
• Create custom dbt macros for data transformations and process standardization.
• Implement CI/CD workflows for dbt deployments across Dev, QA, and Production environments.

• Design complex dimensional models, semantic layers, and star/snowflake schemas for enterprise analytics.
• Implement dbt snapshots to track SCD changes for customers, contracts, entitlements, and product adoption.
• Meet with stakeholders to understand requirements and build Business views to support those needs.

• Act as the dbt subject matter expert, you will help in defining standards and best practices.
• Mentor junior and mid-level engineers, promoting engineering rigor and code quality.
• Partner with Product Owners, Analysts, and business leaders to translate requirements into scalable technical solutions.

Required Skills & Experience

• 5+ years in Data Engineering, ETL/ELT development, or Data Architecture.
• Expert-level SQL and strong experience with dbt Core/Studio and Snowflake.
• Strong understanding of data warehousing, dimensional modeling, and governance.
• Experience with Git for version control and release management.
• Excellent communication, problem-solving, and cross-functional collaboration skills.

Preferred Qualifications

• Experience working with SnapLogic.
• Background in building customer-facing data products.
• Experience with observability tools (Splunk).
• Proficiency in Python.
• Experience with Databricks development.