Senior Architect, Data Engineering

West MonroeWashington, DC
4d$183,800 - $244,700Hybrid

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.
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