Data Platform Technical Lead

Join to apply for the Data Platform Technical Lead role at Welltech Who Are We Welcome to Welltech —where health meets innovation As a global leader in the Health & Fitness industry, we’ve crossed over 200million installs with three life‑changing apps, boosting well‑being for millions. Our mission is to transform lives through intuitive nutrition trackers, powerful fitness solutions, and personalized wellness journeys—all powered by a diverse team of over 700 passionate professionals spread across 5 hubs. Why Welltech? Imagine joining a team where your impact on global health and wellness is felt daily. We strive to be proactive wellness partners for our users while continually evolving ourselves. What We’re Looking For As a Staff Data Engineer / Data Platform Technical Lead, you will transform our data infrastructure to ensure seamless experiences for customers and drive business growth. You’ll manage the development and governance of our data platform, ensuring it is reliable, scalable, and optimized for advanced analytics. In this role, you’ll lead a team of data engineers, collaborate with cross‑functional stakeholders, and design, build, and maintain a high‑quality, cloud‑native data ecosystem that powers data‑driven decision‑making across the organization. Challenges you’ll meet Lead and mentor a skilled team of data engineers, fostering a collaborative and growth‑oriented environment. Redesign and modernize the existing data platform using the latest tools and technologies to enhance efficiency, accessibility, and scalability. Collaborate closely with data analysis and product development teams to ensure efficient, reliable, and scalable data pipelines that support informed decision‑making. Establish and enforce data quality frameworks, governance policies, and monitoring tools to ensure high data accuracy, consistency, and reliability. Ensure compliance with data privacy regulations and security best practices, minimizing risks related to data access and management. Test new approaches by creating Proof of Concepts (PoCs) and conducting benchmarks to continuously improve our data platform. Develop, optimize, and maintain ETL / ELT processes to ensure high‑quality and consistent data, supporting the integrity of analytics and insights. Build robust pipelines for continuous integration and deployment (CI / CD), streamlining software delivery and enhancing efficiency in collaboration with development teams. Your professional qualities 7+ years of experience in data engineering or backend systems, with at least 2+ years in a technical leadership or architect role. Proven experience designing and building distributed data systems on the cloud. Expertise in data modeling, warehousing (dimensional, denormalized, time‑series), and data governance. Strong experience with streaming architectures (e.g., Kinesis, Kafka) and batch ETL. Deep understanding of CI / CD pipelines for data systems and infrastructure (preferably GitLab CI). Excellent communication skills—able to influence stakeholders and guide technical decisions across departments. Knowledge of data privacy regulations (GDPR, CCPA) and security standards. A mentoring mindset that has supported the career growth of other engineers and improved team standards. Experience balancing trade‑offs between scalability, cost, speed, and maintainability. Tech stack you’ll work with Cloud: Redshift, Spectrum, S3, RDS, Lambda, Kinesis, SQS, Glue, MWAA. Languages: Python, SQL. Orchestration: Airflow (MWAA). Modeling: dbt. CI / CD: GitLab CI (including GitLab administration). Monitoring: Datadog, Grafana, Graylog. Event validation process: Iglu schema registry. APIs & Integrations: REST, OAuth, webhook ingestion. Infrastructure as code (optional): Terraform. Nice to have Experience with additional AWS services: EMR, EKS, Athena, EC2. Hands‑on knowledge of alternative data warehouses like Snowflake or others. Strong proficiency in PySpark for large‑scale data processing. Experience with event data collection tools such as custom, Snowplow, Rudderstack, etc. Familiarity with customer data platforms (CDPs) and real‑time data processing. Candidate journey Recruiter call → Technical call → Meet the Leadership team Why You’ll Love Being Part of Welltech Grow Together : Join a culture that champions personal and professional growth. Lead by Example : Every team member is empowered to inspire and make an impact. Results‑Driven : Focus on meaningful outcomes rather than just effort. We Are Well‑Makers : Contribute to a healthier, happier world—together we make well‑being a reality Check out some of our products Muscle Booster — https : / / musclebooster.fitness / Yoga‑Go — https : / / yoga-go.io / WalkFit — / / walkfit.pro Seniority level Mid‑Senior level Employment type Full‑time Job function Information Technology Industries Wellness and Fitness Services J-18808-Ljbffr #J-18808-Ljbffr