Data Engineering Practice Leader

Role Overview

• Serve as a senior pillar lead for the Data & Analytics
• Data Engineering practice.
• Own and grow a book of business through client relationship leadership, business development, and strategic account expansion.
• Lead strategic data modernization discussions with executive and senior client stakeholders.
• Shape solution strategy, future-state architecture, and transformation roadmaps for enterprise clients.
• Oversee delivery of complex data engineering programs, ensuring alignment to business outcomes, architecture standards, and delivery quality.
• Develop new data engineering offerings, accelerators, products, and reusable delivery assets.
• Provide technical oversight across Snowflake, Databricks, AWS, Azure, Microsoft Fabric, and equivalent modern data platforms.
• Guide solutioning for data lakes, data warehouses, lakehouses, advanced analytics enablement, and AI-ready data platforms.
• Lead proposal strategy, pursuit support, client presentations, and commercial solution development.
• Partner with internal leadership to define practice priorities, talent strategy, delivery methodology, and growth plans.
• Manage, mentor, and develop senior managers, managers, architects, consultants, and cross-functional delivery teams.
• Establish governance, data quality, metadata, lineage, security, privacy, and compliance standards across client programs.
• Evaluate emerging data, analytics, and AI-enablement technologies and determine applicability to client and practice needs.
• Monitor portfolio performance, delivery health, financial outcomes, and client satisfaction.
• Represent FormativGroup as a trusted advisor in data engineering, analytics modernization, and cloud data transformation.

Requirements

• 15+ years of experience in data engineering, analytics engineering, data architecture, cloud data platforms, or related technology consulting roles.
• 10+ years of leadership experience within a traditional consulting firm, technology consulting firm, systems integrator, or professional services organization.
• Bachelor’s degree in Data Analytics, Business Analytics, Information Systems, Computer Science, Statistics, Mathematics, Economics, or a related field.
• Strong technical background with the ability to solution, oversee architecture, evaluate technical tradeoffs, and develop new data products or offerings.
• Executive-level advisory experience across analytics strategy, data modernization, cloud transformation, and business value realization.
• Strong understanding of data architecture, data modeling, ETL/ELT, pipeline design, data integration, governance, security, and compliance.
• Experience leading large enterprise programs, multi-year engagements, or complex consulting portfolios.
• Experience with proposal development, pursuit strategy, solution design, pricing support, and executive presentations.
• Strong commercial mindset with the ability to balance client outcomes, delivery quality, and financial performance.
• Exceptional communication, executive presence, facilitation, negotiation, and stakeholder management skills.
• Experience leading account growth, business development, relationship leadership, and strategic account expansion.

Tech Stack

• AWS
• Azure
• Cloud
• ETL

Benefits

• Comprehensive benefits package that includes medical, dental, vision, 401(k), paid time off, etc.