West Monroe is seeking a

Senior Data Engineer

to join our Data & AI practice. In this role, you will design, build, and optimize modern cloud data platforms that enable advanced analytics, AI, and business intelligence. Working with technologies such as Databricks, Snowflake, and Microsoft Fabric, you will help clients modernize their data ecosystems, develop scalable data pipelines, and establish trusted data foundations that power reporting, machine learning, and generative AI solutions. As a technical leader on project teams, you will mentor consultants, contribute to solution design, and deliver high-quality outcomes for our clients.

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.

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.

~ 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%.

~ A commitment to inclusion and diversity, and openness to new ideas and perspectives.

~ Hybrid work environment – 2x/week in office

Information on our competitive total rewards package, including our bonus structure and benefits is here. Individual salaries are determined by evaluating a variety of factors including geography, experience, skills, education, and internal equity.

Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company’s 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses. Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year. We’re a global business and technology consulting firm passionate about creating measurable value for our clients, delivering real-world solutions.

The combination of business and technology is not new, but how we bring them together is unique. We know that technology alone is not the answer, but how we apply it is. We rely on data to constantly adapt and solve new challenges. Actions that work today with outcomes that generate value for years to come.

We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit

If you require a reasonable accommodation to participate in our recruiting process, please inquire by sending an email to

review our current policy regarding use of generative artificial intelligence during the application process. Additionally, West Monroe uses the BrightHire platform to record live interviews so our team can capture notes more accurately, stay focused on the conversation, and continually improve our interview process. If you are based in California, we encourage you to read West Monroe’s Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here.

West Monroe

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