Senior Enterprise Data Architect

We are seeking a visionary Enterprise Data Architect to lead the design development and implementation of cutting-edge cloud-first data solutions. This role is pivotal in driving our data strategy ensuring scalability security and innovation in a rapidly evolving healthcare technology landscape. The ideal candidate will have deep expertise in cloud platforms like AWS and Snowflake (or similar) experience with Electronic Health Record (EHR) data and a working understanding of HL7and FHIR data protocols.

You will play a key role in building robust data pipelines designing systems to ingest and process unstructured data (e.g. images PDFs) and transforming it into structured data products. Familiarity with tools like Intellicare or IRIS from Intersystems as well as experience with Salesforce Data Cloud will be advantageous. This position can support telework up to 90% with 10% travel as needed.

Key Responsibilities

Data Architecture Leadership:

• Design and implement enterprise-level data architectures that align with business goals and cloud-first strategies.
• Develop and deploy data fabric/data mesh solutionsfor the enterprise enabling decentralized data ownership and governance.
• Lead the adoption and migration to modern data platforms includingAWSSnowflake andSalesforce Data Cloud.

EHR Data Expertise:

• Architect solutions for ingesting processing and analyzingEHRdata ensuring compliance withHL7andFHIRstandards.
• Collaborate with healthcare teams to integrate clinical data into analytics platforms.

Data Pipeline Development:

• Build scalable efficient data pipelines to ingest process and transform structured and unstructured data.
• Develop systems to extract text content from unstructured data sources (e.g. PDFs images) and load it into structured data products likeIntellicareorIRIS.

Integration Frameworks:

• Build and maintain integration frameworks connectingSalesforcewithAWSservices (S3 Redshift Lambda SQL DBs) andEHRplatforms (Epic Cerner) using FHIR/HL7 standards.
• Develop and maintain integrations betweenAWS services(S3 Redshift Lambda SQL DBs)Snowflake and other enterprise systems.

Cloud-First Strategy:

• Drive the migration of legacy systems to cloud platforms ensuring high availability security and performance.
• Optimize data storage and processing inAWSandSnowflakeenvironments.

Governance & Compliance:

• Ensure solutions meet enterprise requirements for scalability security performance and compliance.
• Maintain architecture artifacts solution diagrams and integration documentation.
• Ensure compliance withHIPAAregulations enterprise security policies and healthcare data privacy standards.

Collaboration and Leadership:

• Partner with cross-functional teams including data scientists software engineers and business stakeholders to deliver data-driven solutions.
• Mentor and guide junior architects and engineers in best practices for data architecture and cloud technologies.

Qualifications:

Required Experience Skills and Education:

• US Citizenship is required for this position with ability to obtain security clearance as needed.
• Bachelors degree inComputer ScienceEngineering or a related field. Additional years of experience in lieu of degree will be considered.
• 8 years of relevant experience including enterprise data architecture and delivery.
• Expertise inAWS(e.g. S3 Redshift Glue Lambda) andSnowflake.
• Experience in healthcare or life sciences industries with knowledge ofEHRintegration patterns (FHIRHL7EpicCerner) and secure healthcare data exchange.
• Proven experience building data pipelines and ETL/ELT workflows for structured and unstructured data.
• Experience with unstructured data processing including OCR (Optical Character Recognition) for extracting text from images and PDFs.
• Strong understanding of data modeling data warehousing and database design principles.

Preferred Experience Skills and Education:

• Advanced degree inComputer ScienceEngineering or a related field.
• Experience designing developing and deploying data fabric/data mesh solutionsfor the enterprise enabling decentralized data ownership and governance.
• Familiarity with tools likeIntellicareorIRISfrom Intersystems.

• Familiarity with machine learning workflows and AI-driven data processing.
• Hands-on experience with data visualization tools (e.g. Tableau Power BI).
• Certifications in AWS Snowflake or Salesforce.

Soft Skills:

• Strong leadership and communication skills with the ability to influence stakeholders at all levels.
• Problem-solving mindset with a focus on delivering scalable innovative solutions.
• Ability to work in a fast-paced collaborative environment.

Why Join Us

• Be part of a mission-driven organization at the forefront of healthcare innovation.
• Work with cutting-edge technologies and shape the future of data architecture.
• Enjoy a collaborative inclusive work culture that values your expertise and ideas.

Come break things (in a good way). Then build them smarter.

Were the tech company everyone calls when things get weird. We dont wear capes (theyre a safety hazard) but we do solve high-stakes problems with code caffeine and a healthy disregard for how its always been done.

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.