Senior Data Engineer designing and optimizing data platforms for clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. Working closely with clients to deliver scalable solutions.
About the role
- Lead Data Engineer in charge of designing and optimizing cloud-based data platforms for healthcare. Collaborating with teams while implementing scalable, secure solutions.
Responsibilities
- Serve as a technical expert for Snowflake and Azure, leading hands ‑ on implementation across ingestion, transformation, orchestration, and platform optimization.
- Develop and maintain API ‑ driven integrations using MuleSoft, enabling secure, scalable connectivity between cloud and on ‑ prem systems.
- Drive the migration from on ‑ prem SQL Server environments to Snowflake, including re ‑ architecting pipelines, data models, and workflows for the cloud.
- Implement engineering best practices, including CI/CD for data, infrastructure ‑ as ‑ code, version control, testing frameworks, and observability.
- Independently troubleshoot complex data and platform issues, identifying root causes and designing effective long ‑ term solutions.
- Collaborate with data architects, analysts, and business partners to translate requirements into robust, production ‑ ready solutions.
- Mentor and support data engineers, providing technical guidance, code reviews, and thought leadership to elevate engineering standards.
- Optimize data models, storage patterns, and compute usage to ensure cost ‑ efficient and high ‑ performance operations.
- Partner with IT, security, and governance teams to ensure compliance, data quality, and secure handling of sensitive healthcare data.
- Evaluate and introduce new tools, frameworks, and cloud capabilities that enhance our data platform and engineering productivity.
Requirements
- 8+ years' extensive hands ‑ on experience with Snowflake, including performance tuning, data modeling, RBAC, tasks, streams, and secure data sharing.
- 8 years' strong expertise in Azure cloud services, such as Data Factory, Databricks, Functions, Storage, Key Vault, and Azure DevOps.
- Proficiency in SQL, Python, and modern ETL/ELT frameworks.
- Experience working with MuleSoft for API ‑ driven integrations, data movement, and connecting cloud and on ‑ prem systems
- Experience with CI/CD pipelines, Git ‑ based workflows, and infrastructure ‑ as ‑ code (Terraform, Bicep, or similar).
- Strong understanding of data architecture, distributed systems, and cloud platform engineering.
- Ability to work independently, take ownership of complex technical initiatives, and drive them to completion.
- Demonstrated strength as a creative and analytical problem solver, capable of navigating ambiguity and designing effective solutions.
- Ability to lead technical discussions, influence design decisions, and mentor engineers.
- Experience working with healthcare data is a plus.
Benefits
- medical, dental and vision benefits
- 401(k) retirement savings plan
- time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
- short-term and long-term disability
- life insurance and many other opportunities
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