Description:
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 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.
Qualifications
- 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%)