Director, Data Solutions & Engineering (Statara)

Key Responsibilities

Department Leadership: Data Products & Engineering

• Serve as the head of the Data Products & Engineering department, setting vision, priorities, and technical direction

• Lead, manage, and develop team members, including coaching, mentorship, performance oversight, and capacity planning

• Own the operational health of Statara’s data infrastructure, including pipeline reliability, platform stability, and data product quality

• Drive continued evolution of Snowflake-based architecture and modern data workflows across the organization

• Align engineering and data product priorities with commercial objectives and the broader product roadmap

Solution Architecture & Strategy

• Lead the technical shaping of client solutions, from initial concept or test through high-level design and delivery planning

• Translate business objectives into clear data, analytics, and activation approaches that align with Statara’s capabilities

• Serve as a key technical voice on complex or novel solution designs

• Identify opportunities to standardize and scale solutions across clients and use cases

Client & Pre-Sales Support

• Partner with Business Development to scope opportunities, clarify technical requirements, and assess feasibility

• Participate in client conversations as a technical resource, translating capabilities into clear business value

• Support the development of technical demonstrations, solution walkthroughs, and related materials for key opportunities

Feasibility & Validation

• Guide data and analytical validation efforts to confirm solution viability, scalability, and expected outcomes

• Review data structures, assumptions, and analytical outputs to ensure technical soundness

• Support proof points (e.g., pilots, prototypes, demonstrations) where they strengthen solution confidence

Cross-Functional Alignment

• Collaborate with Product, Data Science, and Engineering to align solution designs with platform capabilities and delivery realities

• Surface risks, dependencies, and tradeoffs early to maintain momentum and clarity

• Bridge commercial intent and technical execution across teams

What Success Looks Like

• The Data Products & Engineering team operates with clear direction, strong execution, and alignment to company priorities

• Snowflake-based data infrastructure is reliable, well-maintained, and evolving to meet growing demands

• Client opportunities are scoped accurately and efficiently, with strong technical grounding

• Technical solutions are feasible, scalable, and clearly aligned to business value

• Cross-functional teams are aligned on requirements, risks, and delivery plans

• The solutions function becomes more repeatable, effective, and scalable over time

Requirements
We’re looking for demonstrated technical depth and sound judgment—earned through real exposure to complex problems—more than a specific career path or title history.

• Snowflake working experience required. You should have hands-on working knowledge of Snowflake. You don’t need to be a certified architect, but you need to be able to contribute to technical decisions confidently in a Snowflake-centric environment.

• Experience in solutions engineering, data engineering, analytics, data products, or a related technical role

• Familiarity with data integration, pipelines, data modeling, and solution architecture concepts

• Experience with modern cloud data platforms and analytics workflows; AWS environment experience is a plus, as is Alteryx

• Ability to translate business needs into technical requirements and executable solution plans

• Strong analytical and problem-solving skills, including comfort working with complex datasets

• Ability to communicate technical ideas clearly to both technical and non-technical audiences

• Team leadership experience required—whether through direct management, tech-lead roles, or running cross-functional workstreams. Formal people-management experience is preferred but not the only path.

• Experience working across Sales, Product, Engineering, or analytics functions is a strong plus

Skills Required
Snowflake working experience
Experience in solutions engineering, data engineering, analytics, data products, or related technical role
Familiarity with data integration, pipelines, data modeling, and solution architecture concepts
Experience with modern cloud data platforms and analytics workflows
AWS environment experience
Alteryx experience
Ability to translate business needs into technical requirements and executable solution plans
Strong analytical and problem-solving skills working with complex datasets
Ability to communicate technical ideas to technical and non-technical audiences
Team leadership experience (direct management, tech-lead, or cross-functional leadership)
Formal people-management experience
Experience working across Sales, Product, Engineering, or analytics functions
Background in data onboarding, identity resolution, audience strategy, martech/adtech, measurement partnerships, activation/programmatic
Located in and authorized to work in the US