Job description

Are you ready to make an impact? 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. What You Will Do 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. What You Will Bring 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%. A 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 Based on pay transparency guidelines, the salary range for this role can vary based on your proximity to one of our West Monroe offices (see table below). 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. Eligibility for ten weeks of paid parental leave will also be available upon hire date. 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 Other consultancies talk at you. At West Monroe, we work with you. 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’re fluent in both. 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. At West Monroe, we zero in on the heart of the opportunity, getting to results faster and preparing people for what’s next. You’ll feel the difference in how we work. We show up personally. We’re right there in the room with you, co-creating through the challenges. With West Monroe, collaboration isn’t a lofty promise, but a daily action. We work together with you to turn vision into clear action with lasting impact. West Monroe is an Equal Employment Opportunity Employer  We believe in treating each employee and applicant for employment fairly and with dignity. 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  www.westmonroe.com/inclusion . If you require a reasonable accommodation to participate in our recruiting process, please inquire by sending an email to recruiting@westmonroe.com . Please 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. You can review our privacy notice for more information about this process and how recordings are used. If you have any questions, reach out to recruiting@westmonroe.com. 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 .

Requirements

Must-haves

Are you ready to make an impact?
Design, develop, and optimize cloud-native data solutions using Databricks, Snowflake, Microsoft Fabric, and related data technologies.
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.
What You Will Bring
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.
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.
Ability to travel 30 to 50%.
A commitment to inclusion and diversity, and openness to new ideas and perspectives.
Ability to work permanently in the United States without sponsorship.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningawsazuregcpaccessibilitysqlpythonci/cdagile

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Parental Leave