Current
Director, Analytics Engineering
New York, NY · Director
Sponsorship not specified$270k-$330kDetected 20 days ago
PythonSQLBigQuerySnowflakeGCPdbtData EngineeringData VisualizationPerformance ManagementLeadershipMentoring
About the role
- As the Director of Analytics Engineering, you will be the strategic architect and hands-on leader of Current's data transformation layer.
- This is a high-impact leadership role requiring a "player-coach" mentality.
- You will define the long-term vision for our data warehouse, oversee the execution of complex ETL/ELT pipelines, and serve as the primary bridge between technical engineering teams, analysts, product managers and business stakeholders.
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.
- 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.
- Define and drive the Analytics Engineering and BI strategy.
Requirements
- Strong experience with cloud ecosystems like GCP or AWS.
Nice to have
- Direct experience in the Fintech or D2C domains.
- Familiarity with data mesh or data contract methodologies.
- Experience working with and managing a team in different time-zones.
- 10+ years of experience in Analytics Engineering, Data Engineering, or Data Architecture, with at least 5+ years in a leadership or management capacity.
- You have completed multiple full development lifecycles.
- 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.
Compensation
- is determined based on experience, skill level, and qualifications, which are assessed during the interview process.
- Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.
- Competitive salary
Benefits
- Meaningful equity in the form of stock options
- Discretionary performance bonus program
- 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
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This listing is sourced directly from Current's careers page and normalized into a canonical job model.