Data Platform Lead

Confidential; Lisboa; Presencial; EUR 70 000 - 90 000; Tempo integral

Resumo da oferta

Confidential is seeking an experienced Team Lead to be the hands-on technical leader for a data engineering team, designing and building our data platform architecture. You will define how data is ingested, governed and modelled, setting the direction the team follows, while coaching and supporting engineers around you.

Additionally, you will work with architecture, product and governance stakeholders to keep the platform consistent, well governed and built to last.

Qualificações

• Hands-on experience designing and building enterprise data platforms.
• Deep knowledge of data ingestion, conformed modelling and data products.
• Experience with governance, quality, lineage, security and privacy in regulated environments.
• Ability to define architectural direction and drive adoption across teams.
• Mentoring engineers through technical coaching while remaining hands-on.

Responsabilidades

• Design and build core parts of data platform architecture including ingestion, modelling and data products.
• Define standards for data ingestion, transformation and canonical modelling.
• Lead architectural decisions aligning with data governance and privacy frameworks.
• Stay hands-on: write code, review PRs, contribute to key components.
• Coach the team, grow engineers' skills and confidence daily.
• Plan and prioritise the technical roadmap balancing new capability with maintenance.
• Collaborate with business and other tech teams to translate needs into design.
• Support hiring and onboarding of new engineers to ramp up on architecture.
• Champion engineering practices including code quality, testing and docs.

Conhecimentos

Hands-on data platform design

Data governance

Data modelling

Mentoring engineers

Cloud-native data ecosystems

REST API design

GraphQL API design

Python

SQL

Scala

Terraform / IaC

Data mesh / federated architectures

Knowledge graph technologies

Ferramentas

Databricks

Neo4j / knowledge graph tools

Terraform

Descrição da oferta de emprego

As Team Lead, you will be a hands-on technical leader for a team of data engineers, spending much of your time designing and building our data platform architecture yourself. You will define how data is ingested, governed and modelled, setting the technical direction the team follows, while also coaching and supporting the engineers around you.

Additionally, you will work closely with architecture, product and governance stakeholders to keep the platform consistent, well governed and built to last. This is a role for an experienced engineer who wants to keep building while helping others grow.

Responsibilities

• Design and build core parts of our data platform architecture, including ingestion, data modelling and governed data products.
• Define technical standards and patterns for data ingestion, transformation and canonical data modelling across the team.
• Lead architectural decisions on how the team's platform work fits into our wider data governance and privacy framework.
• Stay hands-on: write code, review pull requests, and directly contribute to key platform components.
• Guide the team's approach to data quality, lineage and access control, ensuring consistent, well-governed data products.
• Provide day-to-day technical leadership and coaching to the team, helping engineers grow their skills and confidence.
• Plan and prioritise the team's technical roadmap, balancing new capability with maintenance and technical debt.
• Partner with business and other tech teams to translate business needs into technical design decisions.
• Support hiring and onboarding, helping new engineers ramp up quickly on the platform's architecture.
• Champion strong engineering practices across the team, including code quality, testing and documentation.

Requirements

• Hands-on expertise designing and building enterprise data platforms, ideally using Databricks or a comparable lakehouse architecture.
• Deep knowledge of data ingestion, canonical/conformed modelling, and reusable data products.
• Strong command of governance, quality, lineage, access control, security, privacy, and anonymisation practices in regulated environments.
• Ability to define architectural direction and drive adoption across engineering teams.
• Track record of mentoring engineers through technical coaching and code reviews while remaining hands-on.
• Comfortable operating as a player-coach, balancing platform delivery with team leadership.
• Knowledge of data mesh and federated data product architectures.
• Proficiency with cloud-native data ecosystems and modern engineering tooling.
• Ability to communicate technical concepts and design decisions to both technical and non-technical audiences.
• Pragmatic approach to balancing engineering excellence, execution speed, and team growth.
• Expertise in REST and GraphQL API design, schema governance, contract management, and versioning.
• Proficiency in Python and/or Scala, SQL, and Infrastructure as Code (Terraform preferred).
• Familiarity with knowledge graph technologies is good to have (including RDF, property graphs, Neo4j, and graph-based analytics)