Director, Analytics Engineering

Responsibilities

• Define and drive the Analytics Engineering and BI strategy. Own the roadmap and P&L for data warehousing, modeling, and business intelligence across the entire organization.
• Act as an engineer leading by example when necessary i.e. optimizing complex SQL, reviewing design, dbt models, data models, and troubleshooting high-priority pipeline issues.
• Lead the design and implementation of robust dimensional models, data marts, and aggregation layers in BigQuery using dbt and Airflow.
• Collaborate with leaders and stakeholders in different departments to translate business requirements into high-fidelity data models that power Looker and downstream analytics.
• Manage and grow a world-class Analytics Engineering team including an off-shore team. Define clear career ladders, conduct performance reviews, and foster a culture of technical excellence and data curiosity.
• Establish frameworks for data reconciliation, quality management, and security. Ensure the organization has absolute confidence in the accuracy and integrity of our data assets.
• Own the Business Intelligence tooling and frameworks.
• Drive the adoption of data models, customer data platform, business intelligence tooling and reporting frameworks.
• Collaborate with Data Platform Engineers and Infrastructure teams to implement and evaluate modern tooling for data ingestion, transformation, and observability, while also establishing robust data governance practices.

Requirements

• 10+ years of experience in Analytics Engineering, Data Engineering, or Data Architecture, with at least 5+ years in a leadership or management capacity.
• Proven track record of building and scaling enterprise-grade Data Warehouses from the ground up. You have completed multiple full development lifecycles.
• Deep mastery of Kimball/Star Schema methodologies and how to apply them to modern, high-velocity fintech data.
• Expert-level SQL and performance tuning skills. Significant experience with dbt (preferred), BigQuery (or similar MPP like Snowflake), and orchestration tools like Airflow.
• Intermediate to advanced level programming skills in Python or other languages.
• Extensive experience building scalable data models and reporting layers in Looker (LookML) or similar enterprise BI tools.
• You are comfortable toggling between strategic planning and a terminal window. You enjoy being "on the ground" with your team to solve complex problems.
• You are passionate about mentorship and have experience defining roles, hiring top talent, and managing career growth in a fast-paced environment.
• Strong experience with cloud ecosystems like GCP or AWS.
• Ability to explain complex technical concepts to non-technical stakeholders (e.g., Credit, Finance, and Executive teams).

Nice-to-Haves

• Direct experience in the Fintech or D2C domains.
• Experience managing distributed or hybrid teams.
• Familiarity with data mesh or data contract methodologies.
• Experience working with and managing a team in different time-zones.

Compensation & Benefits

This role has a base salary range of $270,000 - $330,000. Compensation is determined based on experience, skill level, and qualifications. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.

• Competitive salary
• Meaningful equity in the form of stock options
• 401(k) plan
• Discretionary performance bonus program
• Biannual performance reviews
• Medical, Dental and Vision premiums covered at 100% for you and your dependents
• Flexible time off and paid holidays
• Generous parental leave policy
• Commuter benefits
• Fitness benefits
• Healthcare and Dependent care FSA benefit
• Employee Assistance Programs focused on mental health
• Healthcare advocacy program for all employees
• Access to mental health apps
• Team building activities
• Our modern NYC based office with open floor plan, stocked kitchen, and catered lunches