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Statista

Global data platform for market research

Engineering Manager - Data Platform

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least five years of experience leading engineering teams, ideally in data platforms, platform engineering or infrastructure.
  • A strong foundation in data or platform engineering, with confidence contributing to architecture discussions and design reviews.
  • Familiarity with cloud data warehouses, ideally Snowflake, and tools or practices such as dbt and orchestration.
  • Hands-on experience with infrastructure as code (IaC) using Terraform; comfort with Kubernetes, CI/CD and AWS.
  • Experience operating event-streaming systems such as Kafka, Amazon MSK, Confluent or Redpanda, including a schema registry.
  • Understanding of data governance, including access models, data contracts, catalogues and lineage.
  • Use of AI tools and agentic workflows in daily work; understanding how AI agents consume data and how to make platform data assets work well for agents accessing them through MCP or A2A.

Responsibilities

  • Lead a mixed team of DevOps, software and data engineers with shared ownership, on-call and standards.
  • Grow team members through clear expectations, regular feedback and real ownership, and hire as the platform grows.
  • Partner with the Senior Platform Product Manager to help teams onboard data to the platform through quick setup, fast reviews, clear documentation and input into platform development.
  • Work with data producers, Analytics Engineering and other Statista group companies as partners.
  • Guide access controls, cost safeguards, audits, data contracts and metadata so teams can share data safely with people, APIs and AI-powered applications.
  • Operate Kafka as the backbone that distributes data and content, keeping it reliable and well monitored and making it easy for teams to publish to and consume from.
  • Guide architecture and build-versus-buy decisions, review designs and pull requests, and use AI and automation where they improve the team's work.
  • Stay technically engaged without being expected to code every day.

Desired Qualifications

  • Experience leading engineering teams in data platforms, platform engineering or infrastructure is ideally suited to the role.
  • Familiarity with Snowflake is ideal.

About the Company

Statista

Global data platform for market research

Statista is a global data platform that collects and curates statistics from more than 22,500 sources across 170 industries and 50 countries. It serves businesses, universities, and governments by offering high-quality statistics, infographics, and studies through a subscription-based model, API access, and customized research projects. The platform is updated regularly to ensure current insights, with some updates following major industry events. Users access the data via a subscription, API, or bespoke research services to obtain market insights and revenue information. Compared with competitors, Statista combines a vast, cross-industry data catalog with easy-to-use visualizations and tailored research options, enabling organizations to obtain global insights efficiently. The company’s goal is to help clients across sectors make data-driven decisions by providing reliable, accessible market statistics and analysis.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$62.9M
Headquarters
New York City, New York
Founded
2007

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