Job Description

Data Platform Engineer

We are looking for a Data Platform Engineerto join our Data Platform Operationsteam. In this role, you will own the day‑to‑day operation and monitoring of our data platforms andpipelines, anddrive continuous improvements from an operational and maintenance perspective.

You will work closely with data engineers, analysts, and platform teams to ensure our data platforms are stable, observable, cost‑efficient, and ready to support new use cases.

Key responsibilities

• Operate andmonitordata platforms(Azure and on‑prem / legacy) to ensure availability, performance, and reliability.

• Run and support data processing workflows, including incident handling, troubleshooting failed jobs, and coordinating fixes with development teams.

• Implement and improve observability(monitoring, alerting, logging, SLAs/SLOs) for data platforms and pipelines.

• Drive continuous improvementsin data platform operations:

• Simplify and automate recurring operational tasks.

• Reduce manual interventions and operational risk.

• Improve deployment, rollback, and change‑management practices.

• Collaborate with data engineers and product teamsto operationalize new data products and integrate them into existing platform standards.

• Contribute to operational documentation(runbooks, standards, best practices) and knowledge sharing across the data organization.

Core technologies

You will work primarily with:

• Azure Synapse Analytics

• Azure Data Factory

• SAP BusinessObjects

• Informatica

Experienceoperatingor supporting similar tools is also relevant.

Experience with modern data stack

We are looking for someone who either has, or is keen to develop, experience with a modern data stack, ideally including:

• AWS

• Snowflake

• dbt/SQLMeshfor transformation and data modeling

• Git / GitHuband modern CI/CD practices for data and infrastructure

• Kubernetes(container‑based workloads and operations)

• Kafkaor similar event streaming platforms

• IaaC(infrastructure‑as‑code)and platform automation

Programming & scripting

• Solid scripting / programming skills for automation and tooling, ideally:

• SQL / Procedural SQL

• Python

• Bash

• Ability to build small tools and utilities to automate operational tasks, improve monitoring, or integrate systems.

Qualifications

• Hands‑on experience in data platform operations, data engineering, or a related role.

• Strong understanding of data processing concepts(batch, scheduling, dependencies, failures, backfills).

• Practical experience with at least some of the Azure data servicesand/or traditional ETL toolslisted above.

• Comfortable working with SQLand modern version‑control workflows (branches, pull requests, code reviews).

• Problem‑solving mindset with a focus on stability, reliability, and continuous improvementrather than one‑off fixes.

• Good communicationskills; able to work with both technical and non‑technical stakeholders.

Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds.

We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicantsLearn more about pay transparency

To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.