Data Engineering Practice Leader

FormativGroup is a company focused on solving meaningful business and technology problems, and they are seeking a Data Engineering Practice Leader. This role involves shaping data engineering strategy, leading practice development, and overseeing delivery of enterprise-scale data transformation initiatives.

Responsibilities:

• 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
• Advanced degree or MBA
• Relevant industry certifications or technical credentials
• Deep familiarity with modern data platforms such as Snowflake, Databricks, AWS, Azure, Microsoft Fabric, BigQuery, or related technologies
• Demonstrated success serving as a practice, pillar, portfolio, or account leader with ownership of client growth and delivery outcomes
• Demonstrated success managing senior teams, developing leaders, and building high-performing consulting practices