Staff / Principal Forward-Deployed Architect, Data Modernization
New
Based in the United StatesFull-TimeStaff
Salary$190,000–$250,000
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Job Details
- Experience
- 10+ years
- Required Skills
- SnowflakeAzureData engineeringDatabricksHIPAA
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field required; Master’s degree preferred.
- 10+ years of experience in data engineering, data platform architecture, solutions architecture, or related technical leadership roles.
- Proven experience leading multi-person engineering teams and driving complex technical initiatives.
- Hands-on production experience with at least two of the following platforms: Databricks, Snowflake, and Microsoft Fabric.
- Experience delivering multiple enterprise cloud data platform implementations, preferably within regulated industries.
- Strong cloud expertise, particularly with Azure environments, including networking, identity management, key management, infrastructure-as-code, and observability.
- Experience leading executive-level technical conversations with CTOs, CDOs, CISOs, and enterprise architecture teams.
- Strong understanding of modern data-sharing approaches, including Delta Sharing, Snowflake Reader Accounts, Fabric External Sharing, or similar technologies.
- Familiarity with healthcare data ecosystems, including Epic Clarity/Caboodle, Cogito, Bulk FHIR, HL7, claims data, and healthcare data integration challenges.
- Experience working within HIPAA, HITRUST, or other regulated environments, with knowledge of security, compliance, and PHI protection practices.
- Ability to travel approximately 25–35% of the time.
Responsibilities
- Define and evolve cross-platform reference architectures for modern data platforms across Databricks, Snowflake, and Microsoft Fabric.
- Act as the engagement-embedded technical leader, driving architecture decisions, design reviews, and implementation of complex solutions.
- Lead technical discovery sessions with healthcare organizations to assess existing data environments and design scalable modernization strategies.
- Evaluate legacy systems, healthcare data sources, and integration patterns to create secure, AI-ready target architectures.
- Lead and mentor senior data engineers and cloud/platform engineers while establishing strong technical standards.
- Review and approve engineering deliverables, including infrastructure-as-code, ingestion frameworks, data-sharing models, and security controls.
- Partner with delivery and business teams to define project scopes, identify technical risks, and ensure successful execution timelines.
- Represent the technical vision during pre-sales discussions with executive stakeholders, including technology leaders and enterprise architects.
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