Senior Architect, Data Engineering
West Monroe5 months ago
Los Angeles, CA, United States
Hybrid
Full-time
Junior Level (1-3 years)
Job Description
Position Overview
West Monroe is seeking a Senior Architect to join our growing Technology & Experience. This leader will structure, lead, support, drive, and grow West Monroe’s Data Engineering and Analytics discipline and associated offerings in collaboration with other leaders across the practice and firm. This role will focus on delivering transformational modern data platforms, data strategy, and cloud solutions as well as providing clients with thought-leadership on applying new technologies to innovate their business.
Key Responsibilities
- Serve as a delivery leader on engagements of moderate-to-high complexity and scale, communicating directly with client sponsors and exemplifying client relationship, risk management, and team management skills.
- Oversee engagement scope, budget, deliverables, profitability, work management, reporting, change management, vendor management, and team development.
- 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, and Sqoop.
- Design data structures for ingestion and reporting, tailored to specific use cases and technologies.
- Provide data management expertise in evaluating requirements, developing data architecture, and performing platform selection and design.
- Partner with business development teams to identify client needs, propose tailored solutions, and build long-term relationships to drive revenue growth.
- Collaborate on proposals, presentations, and technical demonstrations that showcase innovative architecture solutions aligned with client objectives.
- Manage and mentor a team of consultants, fostering professional growth and development.
- Provide quality assurance review on junior team members’ approaches and deliverables.
- Promote a collaborative and inclusive team environment that prioritizes client success.
- Represent West Monroe at industry events, conferences, and networking opportunities.
- Actively engage in recruiting, interviewing, and selecting new hire consultants.
Required Qualifications
- 8+ years of data engineering and analytics experience.
- 3+ years of experience in a consulting environment.
- Deep technical knowledge of Databricks and/or Snowflake.
- Experience with LLM – Large Language Model.
- Familiarity with standard methodologies, concepts, best practices, and procedures in a Big Data environment.
- Experience in developing or architecting modern distributed architectures using contemporary messaging patterns and tools.
- Strong experience with ETL procedures and developing solutions from scratch.
- Experience using cloud platforms such as AWS, Azure, or GCP.
- Experience with reporting tools like PowerBI and Tableau.
- Working knowledge of Azure SQL, Azure Data Lake, or Azure Data Factory.
- Proven success in achieving revenue expectations through client needs identification, technical solution crafting, proposal contributions, and pre-sales activities.
- Exceptional written and verbal communication skills for creating executive stakeholder-ready deliverables and polished client presentations.
- Demonstrated success within one or more of West Monroe’s core industries.
- A commitment to inclusion and diversity, and openness to new ideas and perspectives.
- Ability to travel to client sites as needed (30% to 50%).
Benefits & Perks
- Salary Range Information:
- Seattle or Washington, D.C.: $203,200 - $239,100 USD
- Los Angeles: $212,900 - $250,500 USD
- New York City or San Francisco: $222,500 - $261,900 USD
- Other locations: $193,500 - $227,700 USD
- Employee Benefits: Medical, dental, vision, and basic life insurance coverage for employees and their families.
- Retirement & Compensation: 401k plan, employee stock ownership program, and annual bonus eligibility.
- Time Off: Unlimited flexible time off, ten paid holidays per year, and eligibility for ten weeks of paid parental leave.
Required Skills
AWS
Consulting
SQL
Large Language Model (LLM)
Distributed Architectures
PowerBI
Analytics
Data Engineering
Snowflake
ETL
Client Engagement
Data Architecture
Azure
Spark on Scala
Databricks
Big Data
Cloud Solutions
GCP
Tableau
Azure Data Lake
Data Pipelines
Azure Data Factory