Senior Data Engineer
About The Position
West Monroe is seeking a Senior Data Engineer to join its Data & AI practice. The role designs, builds, and optimizes modern cloud data platforms that enable advanced analytics, AI, and business intelligence. It uses technologies such as Databricks, Snowflake, and Microsoft Fabric to help clients modernize data ecosystems, develop scalable pipelines, and establish trusted data foundations for reporting, machine learning, and generative AI. As a technical leader on project teams, the Senior Data Engineer mentors consultants, contributes to solution design, and delivers high-quality client outcomes. The position is based in a hybrid work environment, with employees working in an office twice per week. Travel of 30% to 50% is required. The role requires the ability to work permanently in the United States without sponsorship.
Requirements
- At least 4 years of experience designing and implementing enterprise data engineering solutions.
- Hands-on enterprise experience with Databricks, Snowflake, and/or Microsoft Fabric.
- Experience building cloud-native data pipelines using Spark, SQL, Python, and modern orchestration tools.
- Experience with lakehouse architecture, cloud data warehousing, data modeling, and ELT/ETL development.
- Experience integrating enterprise data platforms with analytics, business intelligence, machine learning, or generative AI solutions.
- Familiarity with Azure cloud services such as Azure Data Factory, Azure Storage, Azure Synapse, or Microsoft Fabric, or comparable cloud technologies.
- Experience designing and implementing cloud-native data platforms on AWS, Microsoft Azure, and/or Google Cloud Platform, using cloud-native data services alongside Databricks, Snowflake, and Microsoft Fabric to deliver scalable, secure, high-performing analytics solutions.
- Understanding of data governance, security, metadata management, and data quality best practices.
- Experience with Git, CI/CD pipelines, Infrastructure as Code, and agile software delivery practices.
- Strong analytical, problem-solving, and communication skills, with the ability to collaborate across technical and business teams.
- Experience integrating AI tools such as ChatGPT into daily workflows to enhance productivity and insight generation, with critical thinking to assess accuracy, mitigate bias, and ensure quality outputs.
- Ability to travel 30% to 50%.
- Ability to work permanently in the United States without sponsorship.
- Commitment to inclusion and diversity, and openness to new ideas and perspectives.
Responsibilities
- Design, develop, and optimize cloud-native data solutions using Databricks, Snowflake, Microsoft Fabric, and related technologies.
- Architect and deliver cloud data solutions across AWS, Azure, and GCP, integrating cloud-native technologies with Databricks, Snowflake, and Microsoft Fabric for enterprise analytics, AI, and business intelligence.
- Build scalable batch and streaming data pipelines for enterprise analytics, operational reporting, and AI-enabled applications.
- Design and implement lakehouse and data warehouse architectures to improve data accessibility, governance, and performance.
- Collaborate with client stakeholders to gather requirements, translate business needs into technical solutions, and deliver data engineering outcomes.
- Develop ELT/ETL processes, data models, orchestration workflows, and data quality frameworks.
- Create trusted, scalable data foundations for machine learning, generative AI, semantic models, and intelligent automation.
- Apply data engineering best practices for security, governance, monitoring, performance optimization, and DevOps.
- Mentor junior consultants, review technical deliverables, and contribute to solution quality across engagements.
- Use AI tools to accelerate analysis, synthesize complex information, and support data-driven client recommendations, while evaluating outputs with sound judgment.
- Apply AI technologies, including generative AI, automation tools, and data models, to enhance insights, delivery efficiency, and client outcomes.
Benefits
- Medical, dental, vision, and basic life insurance coverage for employees and their families.
- 401(k) plan.
- Ability to purchase shares through the employee stock ownership program.
- Eligibility for annual bonuses.
- Unlimited flexible time off.
- Ten paid holidays per calendar year.
- Eligibility for ten weeks of paid parental leave upon hire.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
