Principal Analytics Engineer

New York, NY

Bluecore

Turn your untapped retail data into one-to-one campaigns that make an immediate impact on revenue with Bluecore.

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In the minute it takes you to read this job description, Bluecore has launched over 100,000 individually personalized marketing campaigns for our retail ecommerce customers!

Principal Analytics Engineer

Summary

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 role drives business outcomes by enhancing Bluecore’s ability to create sustainable value from data.

As a technical leader, you will design and develop business-critical data assets, set development standards, and advocate for tech investments that support Bluecore’s growth. You’ll lead complex, multi-team initiatives, ensuring reliable, scalable, and cost-effective data infrastructure. Additionally, you’ll mentor the data team and collaborate across engineering to elevate Bluecore’s data maturity and competency.

Technical Leadership and Innovation

  • 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. These often are core roadmap products (e.g., identification analytics, data extensibility )  
  • 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, e.g., Snowflake, use of LLMs to Bluecore analytics.    
  • 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)

Team Building and Strategic Collaboration

  • 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, incorporating hands-on projects with dbt to accelerate their integration into the team.
  • Support the growth of product analysts & BI staff to become stronger technical contributors.  
  • Act as liaison to other parts of Bluecore’s engineering functions, developing working knowledge of adjacent infrastructure e.g., Terraform.  
  • Enhance collaboration with engineering teams to ensure that data quality, maturity, and extensibility are integral to the software development lifecycle.

Data Operations and Governance:

  • Own the development standards, process, and documentation policy for our analytics data orchestration, dbt instance, and data warehouse, including creation and application of style guides
  • Ensure data quality - maintain and improve data testing and pipeline observability investments that preserve data quality and enable quick issue discovery and resolution.  
  • Implement a centralized data catalog with technical and business metadata, ensuring all stakeholders can easily discover and understand available data, its lineage, critical business logic and usage constraints.
  • Oversee the development of a disaster recovery plan, including regular backups and failover mechanisms, to guarantee business continuity in the event of data infrastructure failures.
  • Lead hardening efforts for dbt, ensuring availability, performance and cost containment over the critical periods (e.g., Thanksgiving holiday weekend).  
  • Maintain data privacy and security policies to all DataOps infrastructure.

Qualifications

  • 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 process 
  • Working knowledge of adjacent technologies, e.g., Terraform, NoSQL databases, Airflow

Salary Range:

$200,000-$240,000 + stock option equity

Our salary ranges are based on paying competitively for our size and industry. Salary is just one part of our total compensation package that includes equity, perks & benefits, and development opportunities at Bluecore. Individual pay decisions are based on several factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Bluecorians. We expect that the majority of candidates who are offered roles at Bluecore to land well within our salary ranges based on these factors.

 

 

More About Us:

Bluecore is a multi-channel personalization platform that gives retailers a competitive advantage in a digital-first world. Unlike systems built for mass marketing and a physical-first world, Bluecore unifies shopper and product data in a single platform, and using easy-to-deploy predictive models, activates welcomed one-to-one experiences at the speed and scale of digital. Through Bluecore’s dynamic shopper and product matching, brands can personalize 100% of communications delivered to consumers through their shopping experiences, anywhere.

This comes to life in three core product lines:

Bluecore is credited with increasing lifetime value of shoppers and overall speed to marketing for more than 400 brands, including Express, Tommy Hilfiger, The North Face, Teleflora and Bass Pro Shops. We have been recognized as one of the Best Places to Work by Fortune, Crain's, Forbes and BuiltIn as well as ranked on the Inc. 5000, the most prestigious ranking of the nation’s fastest-growing private companies.

  We are proud of the culture of flexibility, inclusivity and trust that we have built around our workforce. We are a remote first organization with the option to potentially work in our New York headquarters on occasion moving forward. We love the opportunity to come together – but employees will always have the option on where they work best.     At Bluecore we believe in encouraging an inclusive environment in which employees feel encouraged to share their unique perspectives, demonstrate their strengths, and act authentically. We know that diverse teams are strong teams, and welcome those from all backgrounds and varying experiences.  Bluecore is a proud equal opportunity employer. We are committed to fair hiring practices and to building a welcoming environment for all team members. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, familial status or veteran status.    We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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Tags: Airflow BigQuery DataOps Data quality Data strategy Data warehouse dbt E-commerce ELT Engineering ETL GCP LLMs NoSQL Privacy Python Security Snowflake SQL Terraform Testing

Perks/benefits: Competitive pay Equity / stock options

Region: North America
Country: United States

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