Senior Data Architect

**Who Are We?**

Welcome to **Welltech**—where health meets innovation As a global leader in **Health & Fitness industry**, we’ve crossed over **200 million installs** with three life-changing apps, all designed to boost well-being for millions. Our mission? 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 with presence across 5 hubs**.

**Why Welltech?** Imagine joining a team where your impact on global health and wellness is felt daily. At Welltech, we strive to be proactive wellness partners for our users, while continually evolving ourselves.

**What We're Looking For**

As a **Senior Data Architect/** **Data Platform Technical Lead**, you will play a pivotal role in transforming our data infrastructure to ensure seamless experiences for our customers and drive business growth. You will 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 and collaborate with cross-functional stakeholders to design, build, and maintain a **high-quality, cloud-native data ecosystem**. Your work will be critical in enabling **data-driven decision-making** across the organization, powering everything from internal dashboards to real-time product features.

We’re looking for someone who combines deep technical expertise with strategic thinking and a passion for mentorship and architectural excellence.

**Challenges you’ll meet**:

- ** Team Leadership and Mentorship**:Lead and mentor a team of skilled data engineers, fostering a collaborative and growth-oriented environment.
- ** Data Platform Modernization**:Redesign and modernize our existing data platform using the latest tools and technologies to enhance efficiency, accessibility, and scalability.
- ** Cross-Team Collaboration**: Collaborate closely with data analysis and product development teams to ensure efficient, reliable, and scalable data pipelines that contribute to informed decision-making.
- ** Data Quality & Governance**: Establish and enforce data quality frameworks, governance policies, and monitoring tools to ensure high data accuracy, consistency, and reliability.
- ** Compliance & Security**: Ensure compliance with data privacy regulations and security best practices, minimizing risks related to data access and management.
- ** Innovation and Testing**: Test new approaches by creating Proof of Concepts (PoCs) and conducting benchmarks to continuously improve our data platform.
- ** ETL/ELT Excellence**: Develop, optimize, and maintain ETL/ELT processes to ensure high-quality and consistent data, supporting the integrity of our analytics and insights.
- ** Best Practices and CI/CD Methods**: 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—you’ve supported 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**:AWS (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
- ** Infra-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.
- Event Data Collection Tools: custom, Snowplow, Rudderstack, etc.
- Familiarity with customer data platforms (CDPs) and real-time data processing.

**Why You’ll Love Being Part of Welltech**:

- ** Grow Together**: Join a culture that champions both personal and professional growth. Here, you’ll thrive as we learn, evolve, and succeed together.