Tech Lead – Senior Architect, Data Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the comprehensive architecture, design, and execution of scalable, high-performance data platforms utilizing Snowflake.

• Define, establish, and uphold enterprise data architecture standards, encompassing dimensional/data modeling, naming conventions, design patterns, and engineering best practices.

• Design and develop robust, maintainable ETL/ELT pipelines using dbt along with modern cloud-native technologies.

• Collaborate with distributed cross-functional stakeholders—including business leaders, data scientists, clinical domain experts, and IT teams—to convert intricate business requirements into technical architectures.

• Implement data governance, data lineage, metadata management, cataloging, and automated data quality frameworks.

• Ensure data platforms adhere to European data protection regulations (e.g., GDPR) as well as pharma-specific compliance, validation, and security guidelines.

• Apply DataOps methodologies and CI/CD pipelines for automated testing, deployment, workflow orchestration, and platform monitoring.

• Oversee Snowflake performance tuning, query optimization, clustering strategies, storage tiering, and cloud cost management (FinOps).

• Provide architectural guidance, code reviews, and hands-on mentorship to engineering teams.

• Assess emerging technologies, data frameworks, and modern tools to enhance the data platform landscape.

• Partner with Cloud Infrastructure, SecOps, and DevOps teams to guarantee high availability, resilience, and security standards.

⛳️ Requirements

• Strong hands-on expertise in Snowflake (data warehousing, performance tuning, security, cost optimization).

• In-depth understanding of data warehousing concepts (dimensional modeling, star/snowflake schemas).

• Advanced proficiency in SQL and intricate query optimization.

• Extensive experience in ETL/ELT development, particularly with DBT.

• Experience in data architecture and designing distributed data systems.

• Strong familiarity with CI/CD pipelines (Git, Jenkins, GitHub Actions, Azure DevOps).

• Experience with cloud platforms (AWS).

• Experience with orchestration tools such as Apache Airflow or similar.

• Exposure to data lake/lakehouse architectures.

• Experience with data visualization tools (Tableau, Power BI).

• Prior experience in the pharmaceutical/healthcare domain (clinical, R&D, or commercial data).

• Strong stakeholder management and communication abilities across business and technical teams.

• Capability to drive architectural decisions and influence enterprise data strategy.

• Experience working in Agile/Scrum environments.

🏝️ Benefits

• Competitive salary and performance bonuses.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and career growth.

• Flexible work arrangements and remote work options.