# Director, Analytics Engineering

**Company:** [Current](https://hotfix.jobs/companies/current)
**Location:** New York, NY
**Role:** Data Engineering
**Salary:** $270k – $330k/yr
**Experience:** 10+ years
**Skills:** SQL, dbt, BigQuery, Airflow, Python, Looker, lookml, GCP, AWS, Data Warehousing, ETL, dimensional modeling, kimball methodology, Data Governance
**Posted:** 2026-07-23

> Lead and hands-on architect Current's Analytics Engineering function as a player-coach. Own data warehouse strategy, dimensional modeling in dbt/BigQuery, BI with Looker, team management, and stakeholder alignment in a fintech environment. Requires 10+ years experience including 5+ in leadership.

## Job Description

## 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

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