Senior Manager of Data & Analytics Engineering, Gopuff

$165-195k

This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan

SQL

AWS

Kubernetes

Python

Tableau

Looker

Kafka

Airflow

Terraform

Power BI

Azure

Spark

Snowflake

Flink

Kinesis

BigQuery

dbt

Azure Databricks

Senior and Expert level

Miami

Remote from US

Food, alcohol, and daily essentials delivery service

Be an early applicant

Food, alcohol, and daily essentials delivery service

1001+ employees

B2CRetailFoodConsumer GoodsDeliveryeCommerce

Be an early applicant

$165-195k

This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan

SQL

AWS

Kubernetes

Python

Tableau

Looker

Kafka

Airflow

Terraform

Power BI

Azure

Spark

Snowflake

Flink

Kinesis

BigQuery

dbt

Azure Databricks

Senior and Expert level

Miami

Remote from US

1001+ employees

B2CRetailFoodConsumer GoodsDeliveryeCommerce

Company mission

To deliver food, drink, supplies, and essentials to customers' doorsteps, safely and quickly.

Job

Company

Role

Who you are

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
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

What the job involves

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
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

Our take

Gopuff was an early player in the last-mile delivery space, offering consumers access to a wide range of consumer goods (including food and alcohol) with delivery in ~30 minutes through its network of micro fulfillment centers, from which a fleet of drivers pick up and drop off orders.

Gopuff currently operates in over 1,000 cities and is adding more. The company has made several strategic acquisitions to charge its growth – including UKs Fancy and Dija, and US BevMo!. However, the company faces increased competition on all sides, from Getir (who recently acquired Gorillas), Glovo, and Zapp, as well as high operating costs.

The company has added a range of new capabilities to its platform, launching features to eliminate former pain points by including advance order scheduling, gifting, and in-store pickup. After abandoning plans to IPO in mid-2022, it is focusing back on profitability, though the company has faced some scrutiny over its methods and has had to search further afield for funding at a time when venture capital is scarce. Regardless, Gopuff is well set to remain a major player in the market.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

-11% employee growth in 12 months

Glassdoor (2.7)

Company

Funding (last 2 of 11 rounds)

Nov 2025

$250m

LATE VC

Dec 2021

$1.5bn

CONVERTIBLE

Total funding: $5.2bn

Company benefits

Gopuff employee discount
Career growth opportunities
Internal rewards programs
Annual performance appraisal and bonus
Equity program

Company HQ

Northern Liberties, Philadelphia, PA

Leadership

Yakir Gola

(Co-CEO & Co-Founder)

Founded GoPuff whilst studying at Drexel University.

Rafael Ilishayev

(Co-CEO & Co-Founder)

Rafael studied at Drexel University with Yakir, where they co-founded Gopuff together in October 2013, and have been co-CEOs since.

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