West Monroe
Consulting
SeniorArchitect,DataEngineering
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“Senior Architect, Data Engineering at West Monroe. Skills: Data Engineering, Architecture, AI/ML, Generative AI. Provide guidance and platform selection advice. Design data flow and processing pipelines”
What You'll Achieve.
creating measurable value for our clients; delivering real-world solutions; generate value for years to come; turn vision into clear action with lasting impact; win new business; drive growth opportunities
Industry & Context.
solve new challenges
Travel to client sites as needed (30% to 50%)
What They're Looking For.
Must Have
10+ years of professional experience, 5+ years within consulting ecosystem, Very technical expertise in Databricks and/or Snowflake, modern lakehouse architecture, performance optimization, governance, orchestration, enablement of AI/ML and Generative AI workloads, Experience with modern AI frameworks and services, Hands-on experience with Large Language Models (LLMs), prompt engineering, embeddings, vector databases, 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, modern messaging patterns and tools, data engineering experience, Experience with Databricks, Snowflake, and/or Fabric, Experience working with relational databases (Microsoft SQL Server), working with large unstructured data sets, experience with ETL procedures, 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, Proven experience in supporting business development efforts
Nice to Have
Azure OpenAI, OpenAI APIs, LangChain, Semantic Kernel, MLflow, Mosaic AI, comparable technologies
What You'll Do.
Provide guidance and platform selection advice
Design data flow and processing pipelines
Design data structures for ingestion and reporting
Provide data management expertise
Architect and implement scalable AI/ML and Generative AI solutions
Design data architectures that enable AI/ML workloads
Guide and coach consultants
Coordinate activities with data source application owners
Ensure that data integrity issues are addressed
Liaise and attend meetings
Partner with business development teams
Collaborate on crafting compelling proposals
How You'll Work.
Team & Collaboration
Guide and coach consultants; Coordinate activities with data source application owners; Liaise and attend meetings; Partner with business development teams; Collaborate on crafting compelling proposals; work with clients; co-creating through the challenges; collaboration isn’t a lofty promise, but a daily action
Communication Scope
excellent organizational, verbal and written communication skills
Full Job Description
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 obj
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