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Artisan Partners

Senior Manager, Data & Analytics Engineering

Reposted 19 Days Ago
Be an Early Applicant
Remote or Hybrid
3 Locations
165K-195K Annually
Senior level
Remote or Hybrid
3 Locations
165K-195K Annually
Senior level
Lead Gopuff's data and analytics engineering team, driving data strategy, building scalable data platforms, and mentoring engineers. Facilitate collaboration with business and technology leaders.
The summary above was generated by AI
At Gopuff, data sits at the heart of our strategy. We are reimagining how people purchase everyday essentials, from snacks to household goods to alcohol, all delivered in minutes. To fuel this mission, we are seeking a Senior Manager of Data and Analytics Engineering to shape and build our data strategy, drive insights and partner with leadership on critical business decisions.

In this role, you will lead Gopuff’s data and analytics engineering organization, responsible for the platform, pipelines and models that turn raw data into actionable insights across the company. You’ll partner closely with business, product and technology leaders to shape our data strategy ensuring every decision is grounded in reliable, scalable and accessible data.

Responsibilities

  • Lead and inspire high performing teams across data platform and analytics engineering, fostering a culture of technical excellence, collaboration and continuous improvement
  • Define and execute Gopuff’s data strategy, setting the vision for how data is collected, modeled and delivered to power analytics, experimentation and machine learning
  • Own the architecture of Gopuff’s modern data stack, ensuring it meets the company’s evolving needs for performance, scalability, and cost efficiency
  • Partner cross functionally with business, product and operations leaders to prioritize data initiatives that drive measurable impact and align with company objectives
  • Mentor and grow data and analytics engineers, developing strong technical leaders and promoting best practices in data modeling, ELT and observability
  • Champion data quality, discoverability and reliability, ensuring metrics are trusted and reliable

Preferred Qualifications

  • 8+ years in data, analytics or software engineering, including at least 4 years leading technical teams
  • Demonstrated success in aligning technical data initiatives with business strategy to deliver tangible, measurable outcomes
  • Track record of building scalable data platforms and empowering teams to deliver analytical and ML solutions
  • Exceptional communication skills and experience influencing senior leadership
  • Passion for building data cultures that prioritize impact, reliability and accessibility

Technical Expertise

  • Strong proficiency in Python and SQL (dbt preferred)
  • Experience with data warehouses, data lakes, and their underlying infrastructure (e.g., Snowflake, BigQuery, Databricks)
  • Experience building batch data pipelines using DAG-based tools such as Dagster or Airflow
  • Exposure to modern BI and visualization tools (e.g., Looker, Tableau, Power BI)
  • Experience deploying applications and services to Kubernetes and using related tools in the Kubernetes ecosystem (e.g., Helm, ArgoCD, Istio)
  • Experience implementing DevOps best practices within the data platform, including solutions for CI/CD, data observability, monitoring, and lineage
  • Experience designing and implementing event driven architectures using technologies such as Apache Kafka, AWS Kinesis, or Azure Event Hubs 
  • Experience developing real-time data pipelines using frameworks such as Apache Beam, Flink, or Spark Streaming 
  • Experience with Infrastructure as Code tools such as Terraform

Compensation

  • Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role.
  • This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan.
  • Base Salary Range: $165,000 - $195,000

Benefits Overview

  • Medical/Dental/Vision Insurance 
  • 401(k) Retirement Savings Plan
  • HSA or FSA eligibility
  • Long and Short-Term Disability Insurance
  • Mental Health Benefits
  • Fitness Reimbursement Program
  • 25% employee discount & FAM Membership
  • Flexible PTO
  • Group Life Insurance
  • EAP through AllOne Health (formerly Carebridge)

The only predictable thing about life is that it’s wildly unpredictable. That’s where we come in. When life does what it does best, customers turn to Gopuff to deliver their everyday essentials, and to get through their day & night, work day and weekend. We’re assembling a team of thinkers, dreamers & risk-takers...the kind of people who know the value of peace of mind in an unpredictable world. (And people who love snacks.)

Like what you’re hearing? Welcome to Gopuff.

The Gopuff Fam is committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply. We are an equal employment opportunity employer.

Top Skills

Airflow
Apache Beam
Apache Kafka
Argocd
Aws Kinesis
Azure Event Hubs
BigQuery
Dag-Based Tools
Dagster
Databricks
Dbt
Flink
Helm
Istio
Kubernetes
Looker
Power BI
Python
Snowflake
Spark Streaming
SQL
Tableau
Terraform

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