Senior Architect, Data Engineering

West Monroe • Washington, DC

4d • $183,800 - $244,700 • Hybrid

About The Position

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.

Requirements

• 10+ years of professional experience and 5+ with Databricks/Snowflake
• 8+ years of prior consulting experience
• Very strong technical knowledge in Databricks and/or Snowflake
• Experience with LLM – Large Language Model
• 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%)

Responsibilities

• Provide guidance and platform selection advice for Databricks and/or Snowflake
• 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
• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed