Senior Manager, Data Engineering
FormativGroup•White Plains, NY
•$200,000 - $215,000•Remote
About The Position
The Senior Manager, Data Engineering will serve as a senior pillar lead responsible for shaping data engineering strategy, growing a book of business, leading practice development, and overseeing delivery of enterprise-scale data transformation initiatives. This role blends consulting leadership, executive advisory, technical oversight, commercial ownership, and team development. The position is approximately 25% billable delivery and 75% business development, practice ownership, and strategic leadership. As the Senior Manager, Data Engineering, you will partner with executive client stakeholders, lead account growth, oversee solution architecture, guide delivery teams, and help define scalable, modern data solutions across Snowflake, Databricks, AWS, Azure, Microsoft Fabric, and related cloud data ecosystems.
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.
Nice To Haves
- 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.
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.
Benefits
- Medical, dental, vision, 401(k), paid time off, etc.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
