Senior Manager, Data Engineering
New
F
FormativGroupData & Analytics Consulting
This is a remote role with approximately 50% travel. The preferred location is the Northeast U.S. To be considered for this position, candidates must reside in one of the following U.S. states or Washington, DC: AL, AR, AZ, CA, CO, CT, DE, FL, GA, IA, ID, IL, IN, KS, MA, MD, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, TN, TX, VA, WI, or Washington, DC.Full-TimeManager
Salary$200,000 — $215,000 USD
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Job Details
- Experience
- 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.
- Required Skills
- AWSBusiness DevelopmentSnowflakeAzureData engineeringDatabricks
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 ability to solution, oversee architecture, and evaluate technical tradeoffs.
- 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, and data integration.
- 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.
- Ability to manage, mentor, and develop senior teams and cross-functional delivery units.
- Approximately 50% travel required.
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.
- Manage, mentor, and develop senior managers, managers, architects, consultants, and cross-functional delivery teams.
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