About The Role

We're looking for a hands-on Engineering Team Lead for our D2E Analyze team – someone who leads and manages a small team of engineers while staying close to the code, architecture, and production systems. You'll report to the SVP Engineering, own the technical direction of the Analyze team, and work directly with senior leadership at D4L and with our partners, including Mount Sinai's AIR·MS program.

Key Responsibilities

Own technical direction and architecture decisions for the D2E Analyze team, and stay hands-on: write production TypeScript, review code, and ship features yourself.
Lead performance engineering for analytical workloads at scale – profiling, tuning, and troubleshooting query performance across our database stack.
Build and maintain the team's infrastructure: CI/CD pipelines, Kubernetes deployments, cloud resources on Azure.
Act as the primary technical point of contact for Mount Sinai's engineering and research teams, translating requirements into engineering decisions and managing timelines across time zones.
Lead, grow, and support a team of software engineers – mentoring, giving feedback, and helping them do their best work.
Contribute to the engineering roadmap and longer-term technical strategy for D2E.

What You Must Bring

Proven experience leading a software engineering team in a production environment, while remaining hands-on as an engineer yourself. Strong stakeholder management skills - comfortable representing engineering to external partners and non-technical stakeholders, and able to hold your ground on technical trade-offs.
Deep, production-level TypeScript experience across both frontend and backend, including building RESTful/GraphQL APIs.
Deep, hands-on production experience optimizing analytical workloads across both column-store (e.g., ClickHouse, DuckDB, BigQuery, Redshift, SAP HANA) and row-store databases (e.g., PostgreSQL, MS SQL Server) — schema design, indexing and partitioning strategies, execution plan analysis, query tuning, materialization, and day-to-day administration.
Experience building and managing CI/CD pipelines, using GitHub Actions or similar tools.
Preferably with experience managing cloud infrastructure, including Kubernetes and a major cloud provider such as Azure.

YOU WILL STAND OUT IF YOU HAVE

Knowledge of OMOP CDM, HL7 FHIR, or other healthcare data standards (ICD, SNOMED CT, LOINC, RxNORM, DICOM, CDISC).
Experience with SAP HANA specifically.
Experience with unstructured health data / clinical NLP.
Background in health data analytics, clinical research informatics, or real-world evidence platforms.
Contributions to open-source projects.

GOOD TO KNOW

This role requires regular on-site work in our Singapore office.
This role involves close collaboration with our German team and international partners across regions.
Applicants should currently be based in Singapore.

WHY YOU WILL LOVE WORKING WITH US

This role offers the opportunity to lead a talented team while influencing how engineering evolves across the organization. You will play an important role in improving systems, processes, and collaboration - helping us build better technology and stronger teams.

What we offer:
High level of personal responsibility and creative freedom
Work on socially impactful projects in the healthcare sector
Collaboration with leading partners from research, technology, and healthcare
A diverse, interdisciplinary, and international team working across three locations (Potsdam, Berlin, and Singapore)
Flexible working models with the option to work from home
Permanent employment contract with vacation leave of 18 - 24 days per year, depending on your length of service
Attractive employee benefits, e.g. comprehensive health insurance, gym and home broadband subsidies, attractive education budget

About Data4life

Data4Life (D4L data4life gGmbH) is a nonprofit health technology organization headquartered at the Hasso-Plattner-Institut in Potsdam, Germany. Founded in 2017 and funded by the Hasso Plattner Foundation, D4L's vision is to make the world a healthier place.

Our flagship platform, Data2Evidence (D2E), is an open-source real-world data (RWD) analytics environment. D2E bridges standardized health data and cutting-edge research to enable researchers and healthcare organizations to explore, query, and extract insights from large observational datasets. It is built on the OHDSI framework and the OMOP Common Data Model.

With an international team, we work together on the mission to digitalize health research. By linking technology and research, we make health data available to research in a comprehensive, digital, and secure way. Our interdisciplinary team in Potsdam, Berlin, and Singapore brings together experts from fields such as product development, digital engineering, data security, and science. The Singapore engineering team is central to D2E platform development and institutional delivery.

We care about diversity: Many different lives, careers, and development paths lead to Data4Life. We welcome experts from a wide range of backgrounds and experiences to our international team, offering everyone equal opportunities to be themselves and develop to the best of their abilities. Diversity, equality, and inclusion are not just nice words at Data4Life – we put them into practice in all of our activities and projects, striving to incorporate them into our everyday work. For this reason, we signed the Charta der Vielfalt (Diversity Charter) in 2022.

Engineering Team Lead - Data2Evidence