Statara Solutions

Director, Data Solutions & Engineering

United States full-time Executive Salary not listed
full-time Executive level Technology & IT Curated
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About the role

Must be located and authorized to work in the US
Role Overview
Statara is seeking a Data Solutions & Engineering leader to guide the design and evolution of client-facing data and analytics solutions while serving as the department head for Data Products & Engineering. This dual mandate combines solution architecture with organizational leadership, bridging business needs with Statara’s Data, Insights, and Activation capabilities.
As department head, this person will assume direct leadership of the Data Products & Engineering team—setting technical direction, managing priorities, and ensuring the reliability and continued evolution of Statara’s core data infrastructure, with particular emphasis on Snowflake and modern cloud data architecture.
On the solutions side, this role partners closely with Business Development, Product, Data Science, and Engineering to shape scalable solution approaches, support pre-sales technical strategy, and help ensure complex opportunities are well-defined and feasible.
This role is ideal for a strong technologist with leadership instincts—someone who can own a technical function, contribute meaningfully to client conversations, and bring structure to how Statara designs and delivers solutions. You don’t need to have done all of this before, but you should be ready to grow into the full scope.
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

Plus: Background in data onboarding, identity resolution, audience strategy, martech/adtech, or measurement partnerships. Experience in activation, programmatic, or audience deployment.
Benefits
We believe that a diverse, inclusive staff is a fundamental strength. We’re committed to hiring people of all races, ethnicities, religions, ages, sex, genders, sexual orientations, and gender identities. Women, people of color, LGBTQ+ individuals, and members of untapped groups are strongly encouraged to apply and are welcome on our teams.
We are committed to providing reasonable accommodations throughout the hiring process and employment. If you require an accommodation to apply for or interview for this position, please let us know (email Gideon at ).
We encourage candidates to apply even if their experience does not align perfectly with every qualification listed.
COMPETITIVE COMPENSATION
Including a 401(k) with generous company matching.
100% REMOTE WORKING OPPORTUNITY
Always have been and always will be.
TOP-NOTCH MEDICAL COVERAGE
Domestic-partner inclusive, health, dental, vision, life, cancer coverage, and long-term disability insurance for you and your dependents.
GENEROUS PAID TIME OFF
23 days of PTO per year. We believe in work-life balance and encourage you to use your time off.
PAID PARENTAL LEAVE
10 weeks of fully paid time off. All genders qualify equally, and the policy includes adoptions.
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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Executive
Technology & IT API integration Business Development Data Analysis Remote Collaboration Sales Executive level

Likely questions

  1. Tell us about work you have done that is close to the Director, Data Solutions & Engineering role.
  2. How would you approach your first 30 days at Statara Solutions?
  3. Which of API integration, Business Development and Data Analysis have you used recently, and what did it help you achieve?
  4. How have you led people, improved a process, or made a hard decision in a previous role?
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with API integration, Business Development and Data Analysis.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Director, Data Solutions & Engineering role because I can bring practical experience in API integration, Business Development and Data Analysis, learn the team quickly, and contribute to the outcomes Statara Solutions needs from this hire.

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