Senior Data Engineer

West Monroe is seeking a Senior Data Engineer to join our Data & AI practice, designing, building, and optimizing modern cloud data platforms that enable advanced analytics, AI, and business intelligence.

Responsibilities

• Design, develop, and optimize cloud-native data solutions using Databricks, Snowflake, Microsoft Fabric, and related data technologies.
• Architect and deliver modern cloud data solutions using AWS, Azure, and GCP, integrating cloud-native technologies with Databricks, Snowflake, and Microsoft Fabric to support enterprise analytics, AI, and business intelligence initiatives.
• Build scalable batch and streaming data pipelines that support enterprise analytics, operational reporting, and AI-enabled applications.
• Design and implement modern lakehouse and data warehouse architectures that improve data accessibility, governance, and performance.
• Collaborate with client stakeholders to gather requirements, translate business needs into technical solutions, and deliver high-quality data engineering outcomes.
• Develop robust ELT/ETL processes, data models, orchestration workflows, and data quality frameworks.
• Enable AI and advanced analytics by creating trusted, scalable data foundations that support machine learning, generative AI, semantic models, and intelligent automation initiatives.
• Apply data engineering best practices around security, governance, monitoring, performance optimization, and DevOps.
• Mentor junior consultants, review technical deliverables, and contribute to solution quality across engagements.
• Leverage AI tools to accelerate analysis, synthesize complex information, and support data-driven recommendations for clients, exercising sound judgment in evaluating outputs.
• Apply AI technologies (e.g., generative AI, automation tools, data models) to enhance insights, improve delivery efficiency, and elevate the quality of client outcomes.

Requirements

• 4+ years of experience designing and implementing enterprise data engineering solutions.
• Hands-on experience with Databricks, Snowflake, and/or Microsoft Fabric in enterprise environments.
• 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, including Azure Data Factory, Azure Storage, Azure Synapse, Microsoft Fabric, or comparable cloud technologies.
• Experience designing and implementing cloud-native data platforms on AWS, Microsoft Azure, and/or Google Cloud Platform (GCP), with expertise leveraging cloud-native data services alongside Databricks, Snowflake, and Microsoft Fabric to deliver scalable, secure, and 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 effectively across technical and business teams.
• Experience integrating AI tools (e.g., ChatGPT) into day-to-day workflows to enhance productivity and insight generation, coupled with strong critical thinking to assess accuracy, mitigate bias, and ensure high-quality outputs.
• Ability to travel 30 to 50%.
• Commitment to inclusion and diversity, and openness to new ideas and perspectives.
• Ability to work permanently in the United States without sponsorship.
• Hybrid work environment – 2x/week in office.

Pay

Based on pay transparency guidelines, the salary range for this role varies by location:

• Seattle or Washington, D.C.: $125,500—$147,600 USD
• Los Angeles: $131,500—$154,700 USD
• New York City or San Francisco: $137,400—$161,700 USD
• A location not listed above: $119,500—$140,600 USD

Benefits

• Medical, dental, vision, and basic life insurance for employees and their families.
• 401k plan and employee stock ownership program.
• Unlimited flexible time off and ten paid holidays throughout the calendar year.
• Ten weeks of paid parental leave available upon hire date.
• Annual bonuses.

About the Company

West Monroe is a global business and technology consulting firm passionate about creating measurable value for clients through real-world solutions. We combine business and technology expertise to deliver lasting outcomes, collaborating closely with clients to turn vision into action. Our approach focuses on data-driven insights, adaptability, and preparing organizations for future challenges.