Note: The job is a remote job and is open to candidates in USA. FormativGroup is a company focused on bridging business goals with modern technology solutions, and they are seeking a Senior Manager, Data Engineering. This role involves shaping data engineering strategy, leading business development, and overseeing enterprise-scale data transformation initiatives while partnering with executive stakeholders.
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
Skills
- 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
Benefits
- Employees may be eligible for discretionary bonuses, commissions, or other incentive programs
- A comprehensive benefits package that includes medical, dental, vision, 401(k), paid time off, etc.
Company Overview