Data Platform Lead Engineer
Role details
Job location
Tech stack
Job description
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Lead the design, implementation, and maintenance of our Snowflake data platform, ensuring scalability, security, and performance.
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Develop and maintain data pipelines, ETL/ELT processes, and data integration solutions from multiple sources, including clinical, operational, and commercial systems.
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Implement best practices for data modeling, data warehousing, and analytics optimization. Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver high-quality solutions.
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Define and enforce data governance, data quality, and security standards across the platform.
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Troubleshoot and resolve performance, reliability, and operational issues.
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Stay current with Snowflake features, cloud data trends, and emerging data technologies.
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Mentor and provide guidance to junior team members on Snowflake best practices and architecture.
Requirements
We are seeking a hands-on, experienced Data Platform Lead to own the design, development, and support of our Snowflake-based data platform. The ideal candidate will serve as a technical leader and contributor, enabling the company to centralize, integrate, and manage critical clinical, operational, and commercial data. This role requires deep technical expertise in cloud data platforms, strong problem-solving skills, and the ability to collaborate with cross-functional teams in a fast-paced, regulated environment., * 5+ years in cloud-based data engineering or data platform roles, with at least 3 years hands-on experience with Snowflake.
- Proven experience designing, developing, and supporting large-scale data platforms and pipelines.
- Strong background in integrating multiple data sources, including structured and unstructured data.
- Experience in life sciences, biotech, or healthcare data is highly preferred.
- Familiarity with data governance, MDM, and regulatory compliance (HIPAA, GDPR) in a data platform context., * Bachelor's degree in computer science, Information Systems, Data Engineering, or related field (Master's preferred).
- Snowflake certifications (SnowPro Core or equivalent) a plus.
- Strong understanding of cloud ecosystems (Azure).
- Demonstrated ability to lead and deliver complex data platform projects end-to-end.
Skills/Specialist knowledge
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Hands-on expertise in Snowflake architecture, data modeling, and performance tuning. Strong SQL, Python, and ETL/ELT development skills.
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Knowledge of modern data integration tools (e.g. DBT, MuleSoft).
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Familiarity with BI/analytics tools (Power BI or similar).
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Understanding of security best practices, including access control, encryption, and audit logging.
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Excellent problem-solving, analytical, and communication skills.
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Ability to work in a fast-paced, agile environment and adapt to changing business priorities.
Benefits & conditions
Our team is passionate in the pursuit of excellence and in pushing the boundaries of cancer therapy and autoimmune diseases to deliver life-changing treatments to patients. Whilst working at Autolus you will enjoy a flexible, diverse, and dynamic working environment which actively promotes creativity, leadership and teamwork. In addition to this Autolus is proud to offer a competitive salary, performance related bonus as well as private medical insurance, life assurance, and pension.