Principal Analytics Engineer

$200,000 - $240,000/Yr

Bluecore - New York, NY

posted 2 days ago

Full-time - Senior
New York, NY
Administrative and Support Services

About the position

The Principal Analytics Engineer has impact across multiple teams in Bluecore. The role is critical to the technical success of Bluecore as we continue to scale, and has high visibility to VP & C-suite leaders. You will oversee continued development of critical infrastructure, revenue-touching products like Identification and Extensibility, and enable internal KPI development and measurement strategies. This role sits on the DataOps team within Engineering. DataOps owns analytics data transformation, analytics products, and internal BI and is part of the broader data function. Bluecore works with some of the world's most exciting retail brands to engage shoppers and drive revenue. Our recent combination with Alby, an AI shopping assistant, is opening new avenues to greater client impact. Bluecore is at the center of marketing automation, shopper engagement, and performance management and DataOps plays a key role scaling those capabilities. The role of Principal Analytics Engineer drives business outcomes by enhancing Bluecore's ability to create sustainable value from data.

Responsibilities

  • Define and execute Bluecore's long-term data strategy, ensuring alignment with client impact, business goals, and scaling needs.
  • Lead development of technically complex transform projects to create business-critical data assets.
  • Architect and develop complex data models and ETL/ELT, ensuring they support Bluecore's needs for timely analytics and exports.
  • Lead the evaluation and integration of new technologies, such as those related to scaling data pipeline orchestration and data sharing with clients.
  • Lead performance and cost saving initiatives and manage slot spend & storage costs across analytics infrastructure.
  • Maintain thought leadership in the market through blog posts, speaking engagements, and/or social media.
  • Own commercial relationship with dbt, and support commercial relationship with GCP (BigQuery usage).
  • Mentor a team of high-performing analytics engineers through regular code reviews, technical workshops, and personalized feedback.
  • Develop and implement a structured onboarding program on Analytics Engineering/our data warehouse for new team members.
  • Support the growth of product analysts & BI staff to become stronger technical contributors.
  • Act as liaison to other parts of Bluecore's engineering functions.
  • Enhance collaboration with engineering teams to ensure that data quality, maturity, and extensibility are integral to the software development lifecycle.
  • Own the development standards, process, and documentation policy for our analytics data orchestration.
  • Ensure data quality - maintain and improve data testing and pipeline observability investments.
  • Implement a centralized data catalog with technical and business metadata.
  • Oversee the development of a disaster recovery plan, including regular backups and failover mechanisms.
  • Lead hardening efforts for dbt, ensuring availability, performance and cost containment.
  • Maintain data privacy and security policies to all DataOps infrastructure.

Requirements

  • 3+ years as tech lead for a high-performing data team.
  • 5+ years working in data pipeline orchestration & dwh design both as an architect and developer, with 3+ years using dbt.
  • Extensive experience with complex orchestration, macros, and performance optimizations required.
  • 5+ years architecting & developing a cloud data warehouse supporting client-facing and internal-facing business use cases.
  • Advanced knowledge of Python for analytics and data workflow/automation use cases.
  • Expert level knowledge of SQL.
  • Demonstrated success scaling the 'modern data stack' while managing cost and performance.
  • Demonstrated success implementing coding standards, review processes, and other operational processes.
  • Working knowledge of adjacent technologies, e.g., Terraform, NoSQL databases, Airflow.

Benefits

  • Salary Range: $200,000-$240,000 + stock option equity.
  • Total compensation package that includes equity, perks & benefits, and development opportunities.
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