Values

The ad says“Familiarity with AI governance, model lifecycle management, responsible AI principles, and enterprise security considerations”
The ad says“Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, prompt engineering, and AI orchestration patterns”
The ad says“Hands-on experience with LLM ecosystems and frameworks such as OpenAI, Azure OpenAI, LangChain, Semantic Kernel, MLflow, or Databricks Mosaic AI”
The ad says“Hands-on experience with LLM ecosystems and frameworks such as OpenAI, Azure OpenAI, LangChain, Semantic Kernel, MLflow, or Databricks Mosaic AI”
The ad says“Very strong technical expertise in Databricks, including architecture, performance optimization, Delta Lake, Unity Catalog, workflow orchestration, security, governance, and cloud-native data engineering best practices”
The ad says“Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, prompt engineering, and AI orchestration patterns”
The ad says“Familiarity with AI governance, model lifecycle management, responsible AI principles, and enterprise security considerations”
The ad says“Design data flow and processing pipelines for analysis using modern toolsets such as Spark on Scala, Storm, Flume, Sqoop”
The ad says“Hands-on experience with LLM ecosystems and frameworks such as OpenAI, Azure OpenAI, LangChain, Semantic Kernel, MLflow, or Databricks Mosaic AI”
The ad says“Hands-on experience with LLM ecosystems and frameworks such as OpenAI, Azure OpenAI, LangChain, Semantic Kernel, MLflow, or Databricks Mosaic AI”
The ad says“Familiarity with AI governance, model lifecycle management, responsible AI principles, and enterprise security considerations”
The ad says“Hands-on experience with LLM ecosystems and frameworks such as OpenAI, Azure OpenAI, LangChain, Semantic Kernel, MLflow, or Databricks Mosaic AI”
The ad says“Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, prompt engineering, and AI orchestration patterns”
The ad says“Familiarity with AI governance, model lifecycle management, responsible AI principles, and enterprise security considerations”
The ad says“Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, prompt engineering, and AI orchestration patterns”
The ad says“Design data flow and processing pipelines for analysis using modern toolsets such as Spark on Scala, Storm, Flume, Sqoop”
The ad says“Hands-on experience with LLM ecosystems and frameworks such as OpenAI, Azure OpenAI, LangChain, Semantic Kernel, MLflow, or Databricks Mosaic AI”
The ad says“Design data flow and processing pipelines for analysis using modern toolsets such as Spark on Scala, Storm, Flume, Sqoop”
The ad says“Design data flow and processing pipelines for analysis using modern toolsets such as Spark on Scala, Storm, Flume, Sqoop”
The ad says“Design data flow and processing pipelines for analysis using modern toolsets such as Spark on Scala, Storm, Flume, Sqoop”
The ad says“Very strong technical expertise in Databricks, including architecture, performance optimization, Delta Lake, Unity Catalog, workflow orchestration, security, governance, and cloud-native data engineering best practices”
The ad says“Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, prompt engineering, and AI orchestration patterns”

Are you ready to make an impact?

West Monroe is seeking a Senior Architect to join our thriving Technology and Experience Practice. This is an excellent opportunity to work with clients developing Big Data strategy and roadmaps with emphasis on Databricks, while gaining exposure to a variety of industries including Healthcare, Financial Services, Insurance, and Utilities.

Responsibilities:

Design data flow and processing pipelines for analysis using modern toolsets such as Spark on Scala, Storm, Flume, Sqoop
Design data structures for ingestion and reporting, specific to use case and technology
Provide data management expertise to our clients in evaluating requirements and developing data architecture and performing platform selection and design. Data management includes appropriate structuring, stewardship of data, semantics/syntax of data attributes, coding structures, and mapping schemes
Collaborate with data science and engineering teams to productionize machine learning and Generative AI workloads within modern cloud ecosystems
Establish best practices for AI data readiness, feature engineering, model monitoring, observability, and governance
Lead technical discussions around AI-enabled modernization strategies including semantic layers, vector databases, AI agents, and knowledge retrieval systems
Evaluate emerging AI technologies and recommend fit-for-purpose tooling aligned to client objectives, scalability, security, and compliance requirements
Guide and coach consultants, share best practices, perform code reviews
Coordinate activities with data source application owners to ensure integration with analytics platform and source systems
Ensure that data integrity issues are addressed
Liaise and attend meetings necessary to perform duties and aid business and technical development

Qualifications:

10+ years of professional experience and 3+ years of expeirence with Databricks
8+ years of prior consulting experience
Very strong technical expertise in Databricks, including architecture, performance optimization, Delta Lake, Unity Catalog, workflow orchestration, security, governance, and cloud-native data engineering best practices
Experience architecting and deploying AI/ML or Generative AI solutions within enterprise environments
Hands-on experience with LLM ecosystems and frameworks such as OpenAI, Azure OpenAI, LangChain, Semantic Kernel, MLflow, or Databricks Mosaic AI
Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, prompt engineering, and AI orchestration patterns
Familiarity with AI governance, model lifecycle management, responsible AI principles, and enterprise security considerations
Experience integrating AI capabilities into data platforms, analytics solutions, or customer-facing applications
Knowledge of standard methodologies, concepts, best practices, and procedures within a Big Data environment
A commitment to inclusion and diversity, and openness to new ideas and perspectives
Travel requirements up to 30 to 50%
Hybrid role: 1 to 2 days a 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.

$199,100—$223,400 USD

Los Angeles

$205,400—$234,100 USD

New York City or San Francisco

$215,200—$244,700 USD

A location not listed above

$183,800—$212,800 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. 

Asks for

Values

Other consultancies talk at you.At West Monroe, we work with you.

Other consultancies talk at you.
At West Monroe, we work with you.