Datasite is looking for a Director, Data Operations & Engineering (Finance) to lead the evolution of our financial data ecosystem. You will own Data Assets, transforming raw data into high-value, reusable Data Products using tools like Snowflake, dbt, and Power BI. This role bridges the gap between back-end engineering and front-end product delivery to ensure data is actionable for business stakeholders.
What You'll Do
- Lead the design of back-end data models and Snowflake schemas for long-term scalability and high-concurrency usage.
- Oversee development and maintenance of automated ELT pipelines using dbt, ensuring version control, documentation, data lineage, and data quality.
- Shift from static reporting to Data Product development, using Power BI to build interactive tools with intuitive, consistent design.
- Partner with cross-functional leaders to define and standardize core business metrics (KPIs) for consistency across dashboards.
- Empower non-technical stakeholders by building 'Certified Semantic Models' for safe, self-service reporting.
- Lead and grow a team of Data Engineers, Architects, and BI Experts, providing hands-on technical guidance in SQL, dbt, and DAX.
- Act as the primary translator between technical engineering constraints and business requirements from Finance, Ops, and Marketing.
- Drive a culture of discovery by performing deep investigations into data anomalies to provide proactive business recommendations.
What We're Looking For
- 10+ years of experience in Data/Analytics.
- At least 3+ years in a senior leadership role.
- Proven experience launching internal data products or tools that achieved high user adoption.
- Expert knowledge of the Snowflake + dbt + Power BI ecosystem.
- Deep mastery of DAX, Power BI Service architecture, and advanced visualization techniques.
- High proficiency in Snowflake and dbt, knowing how to structure a data warehouse.
- SQL Power User with ability to perform deep-dive investigations and complex data discovery.
- Deep understanding of how business metrics (e.g., LTV, CAC, Margin) translate into data requirements.
- Exceptional communication skills, with ability to pitch a 'data product' vision to the C-suite.
- Bachelor’s degree or equivalent in a quantitative discipline such as engineering, mathematics, statistics, business, economics, etc.
Nice to Have
- MBA or Master’s in quantitative disciplines such as analytics, MIS, etc.
Technical Stack
- Snowflake
- dbt
- Power BI
- SQL
- DAX
Team & Environment
You will lead a multidisciplinary team of Engineers, Data Analysts, and Power BI Experts, specifically managing Data Engineers, Architects, and BI Experts.
Benefits & Compensation
- Compensation: $170,000.00 - $297,200.00
- Health insurance (medical, dental, vision)
- Retirement savings plan
- Paid time off
- Other employee benefits
We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic.
