Values

The ad says“Experience using cloud platforms such as AWS, Azure, GCP etc.”
The ad says“Experience using cloud platforms such as AWS, Azure, GCP etc.”
The ad says“Working knowledge or experience working with Azure SQL, Azure Data Lake or Azure Data Factory.”
The ad says“Working knowledge or experience working with Azure SQL, Azure Data Lake or Azure Data Factory.”
The ad says“Experience with modern AI frameworks and services such as Azure OpenAI, OpenAI APIs, LangChain, Semantic Kernel, MLflow, Mosaic AI, or comparable technologies”
The ad says“Working knowledge or experience working with Azure SQL, Azure Data Lake or Azure Data Factory.”
The ad says“Hands-on experience with Large Language Models (LLMs), prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) architectures”
The ad says“Strong experience with ETL procedures and ideation from scratch”
The ad says“Experience using cloud platforms such as AWS, Azure, GCP etc.”
The ad says“Experience with modern AI frameworks and services such as Azure OpenAI, OpenAI APIs, LangChain, Semantic Kernel, MLflow, Mosaic AI, or comparable technologies”
The ad says“Hands-on experience with Large Language Models (LLMs), prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) architectures”
The ad says“Experience working with relational databases (Microsoft SQL Server) and working with large unstructured data sets”
The ad says“Experience with modern AI frameworks and services such as Azure OpenAI, OpenAI APIs, LangChain, Semantic Kernel, MLflow, Mosaic AI, or comparable technologies”
The ad says“Experience with modern AI frameworks and services such as Azure OpenAI, OpenAI APIs, LangChain, Semantic Kernel, MLflow, Mosaic AI, or comparable technologies”
The ad says“Experience with modern AI frameworks and services such as Azure OpenAI, OpenAI APIs, LangChain, Semantic Kernel, MLflow, Mosaic AI, or comparable technologies”
The ad says“Experience with reporting tools such as PowerBI and Tableau”
The ad says“Hands-on experience with Large Language Models (LLMs), prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) architectures”
The ad says“Hands-on experience with Large Language Models (LLMs), prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) architectures”
The ad says“Experience with modern AI frameworks and services such as Azure OpenAI, OpenAI APIs, LangChain, Semantic Kernel, MLflow, Mosaic AI, or comparable technologies”
The ad says“Experience with reporting tools such as PowerBI and Tableau”
The ad says“Hands-on experience with Large Language Models (LLMs), prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) architectures”

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, while gaining exposure to a variety of industries including Healthcare, Financial Services, Insurance, Consumer & Industrial Products, and Energy & Utilities.

Responsibilities:

Provide guidance and platform selection advice for Databricks, Snowflake, and/or Microsoft Fabric
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
Architect and implement scalable AI/ML and Generative AI solutions leveraging modern data platforms such as Databricks, Snowflake, and Microsoft Fabric
Design data architectures that enable AI/ML workloads through high-quality, governed, secure, and scalable data pipelines and lakehouse environments
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
Partner with business development teams to identify client needs, propose tailored solutions, and build long-term relationships with key stakeholders to drive growth opportunities
Collaborate on crafting compelling proposals, presentations, and technical demonstrations that showcase innovative architecture solutions and align with client objectives to win new business.

Qualifications:

10+ years of professional experience and 5+ within consulting ecosystem
Very strong technical expertise in Databricks and/or Snowflake including modern lakehouse architecture, performance optimization, governance, orchestration, and enablement of AI/ML and Generative AI workloads
Experience with modern AI frameworks and services such as Azure OpenAI, OpenAI APIs, LangChain, Semantic Kernel, MLflow, Mosaic AI, or comparable technologies
Hands-on experience with Large Language Models (LLMs), prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) architectures
Knowledge of standard methodologies, concepts, best practices, and procedures within a Big Data environment
Development of or architecture of modern distributed architectures using modern messaging patterns and tools
Strong data engineering experience with the following core competencies:
- Experience with Databricks, Snowflake, and/or Fabric
- Experience working with relational databases (Microsoft SQL Server) and working with large unstructured data sets
- Strong experience with ETL procedures and ideation from scratch
- Experience using cloud platforms such as AWS, Azure, GCP etc.
- Experience with reporting tools such as PowerBI and Tableau
- Working knowledge or experience working with Azure SQL, Azure Data Lake or Azure Data Factory.
Excellent organizational, verbal and written communication skills
A commitment to inclusion and diversity, and openness to new ideas and perspectives
Proven experience in supporting business development efforts, including identifying client needs, crafting technical solutions, contributing to proposals, and participating in pre-sales activities to drive revenue growth.
Travel to client sites as needed (30% to 50%)

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.