Lead Analytics Engineer

This role will play an important part in contributing to the future of Current’s growth and serving data analytics and science needs of various teams at Current. Building dimensional models in the data warehouse, data marts and transformation pipelines is your forté.

You will lead the data warehousing and modeling efforts at current and partner with data analysts, data scientists, engineers and multiple stakeholders to support their data modeling and reporting needs to drive key business initiatives. You will also work closely with the data infrastructure team and steer efforts to build an efficient data infrastructure and tooling for data ingestion, transformation and analytics purposes.

Responsibilities

Manage and develop data warehousing and data modeling strategy and roadmap.
Own core data models and metrics definitions in the Data Warehouse.
Scale the team, support their initiatives and focus on their career development.
Design and build data transformation pipelines, dimensional models, data marts and data aggregation layers in dbt, Airflow and Bigquery.
Implement scalable and easy to use data models housing complex data sets
Support Looker as a primary data reporting and analytics tool and build core data models in Looker to easily do sophisticated data analysis
Work closely with product, marketing, Finance, Credit, Risk and other teams to support their analytics and modeling needs in Looker.
Drive requirements for data infrastructure and engineering teams to build data integrations, robust tools and infrastructure.
Implement framework and processes for data reconciliation and quality management.
Build trust and confidence in the data that you and your team will transform/produce.

About You

6+ years of experience working as a data engineer or analytics engineer.
2+ years of experience managing analytics engineering or data engineering teams.
Architected and implemented at least one full cycle of designing and implementing a data warehouse
Fluent in building data transformation pipelines, dimensional models and data marts. using one or more ETL or Transformation tools(Preferred: dbt)
Proficient in dimensional modeling concepts to power meaningful analytics.
2+ years of experience building meaningful metrics, reports and dashboards in BI/reporting tools like (Preferred: Looker).
Strong expertise in SQL and performance tuning
Experience working with services in cloud environment(s) like AWS or GCP.
Programing experience in Python, Scala or other language(s)
Focus on data quality, integrity and security
A hands-on manager who loves people and tech both

This role has a base salary range of $175,000 - $225,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process.

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