Tech Lead - Data Platform Engineering
Listed on 2026-08-22
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IT/Tech
Cloud Computing: Infrastructure & Operations, Data Engineering
Your Role
At Dataroots, our consulting services focus on designing and delivering AI-powered solutions tailored to optimize business processes. As a Data platform Engineering Tech Lead, you'll join a collaborative team dedicated to design and built data pipelines, data models and help shaping the technical vision of our data platform engineering unit.
In this advanced role, you will balance hands-on project work (50-80%) with a broad range of leadership responsibilities. You will drive technical excellence, mentor your peers, and set the standard for quality in data and cloud engineering. Your passion for data and its potential will empower you to design, build, and optimise cutting-edge data platforms. You’ll experiment with the latest approaches to ensure every client receives best-in-class solutions.
Whatyou will be doing
Design & deliver data platforms end-to-end: cloud architecture, workspace topology, networking, identity & access, data governance, and platform automation for clients across diverse industries.
Set the engineering standard: define reference architectures, infrastructure-as-code patterns, CI/CD blueprints, and platform best practices that the whole team builds on.
Lead client engagements: run architecture workshops, translate complex platform decisions into clear deliverables (solution designs, ADRs, roadmaps), and act as the trusted technical counterpart for client stakeholders.
Shape the internal roadmap: drive the technical vision of the data platform unit, lead internal initiatives and accelerators, define quarterly priorities, and contribute to knowledge sharing formats such as Roots Academy.
Mentor & grow the team: coach platform and cloud engineers, review designs and code, support hiring and skill development, and foster a culture of quality and continuous learning.
Working closely with our Data Engineers, Machine Learning Engineers, Cloud Architects, and Data Strategists, you'll help execute projects with a comprehensive, quality-driven, end-to-end approach.
Since 2016, Dataroots has been committed to helping clients excel in their data-driven operations. Our approach emphasises team well-being, fostering diversity, and promoting knowledge sharing. By focusing on these values, we've achieved healthy and sustainable growth over the years. We actively encourage professional growth by exposing our employees to different industries, tools, and technologies, broadening their scope in the process.
As part of the Talan Group
, we take this approach to the next level, adding international mobility to our employees’ career journeys.
Join a team where your work will have a direct impact on both our clients and our journey.
What We’re Looking ForYou bring the following qualities & experiences to the role:
Master's or Doctorate in a quantitative field.
5+ years of industry experience in data platform, cloud, or infrastructure engineering.
Proven expertise in data platforms: deep hands-on experience designing and operating platforms such as Databricks, Snowflake, Microsoft Fabric, Azure Data Services, or AWS Data Services including governance (e.g. Unity Catalog, Purview), security, networking, and cost management.
Strong cloud engineering & Dev Ops foundations: expert-level Terraform (or equivalent IaC), CI/CD pipelines (Azure Dev Ops, Git Hub Actions, Git Lab CI), containerisation (Docker, Kubernetes), and platform automation. You treat platforms as products and infrastructure as code.
You work AI-assisted by default: daily, hands-on use of LLMs and coding agents (Claude, GPT, Claude Code, Copilot, Cursor, ...) as part of how you design, write, and review code and the judgment to know when their output is wrong.
Leadership & mentorship: a track record of successfully leading and coaching engineering teams. Your experience includes driving internal projects, defining technical roadmaps, and prioritising work to align with quarterly goals. You stay up to date and have an oversight of what are the industry trends and can set the quality bar internally.
Security & governance mindset: hands-on experience with identity & access management, network isolation,…
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