Title: Databricks Architect
Location: Atlanta GA
Face 2 Face interview must
Visa: H1B & H4
Job Description:
The Databricks Architect will lead enterprise-scale healthcare data solutions by designing optimizing and deploying robust data architectures on the Databricks Lakehouse platform. The ideal candidate will bring deep expertise in Databricks healthcare data requirements (including HIPAA) and a proven track record of architecting data-driven analytic and AI/ML solutions for healthcare providers payers or life sciences organizations.
Key Responsibilities:
- Drive the design and implementation of scalable secure high-performing data architectures-including data lakes warehouses and real-time streaming-using Databricks and Apache Spark for large healthcare datasets.
- Lead architectural reviews create blueprints and develop architecture documentation aligning with healthcare regulatory requirements (HIPAA HITRUST etc.).
- Collaborate with business clinical and IT stakeholders to deliver solutions that accelerate analytics population health patient outcomes and operational efficiency.
- Oversee end-to-end data pipeline architecture-including ingestion ETL/ELT data transformation and advanced analytics on Databricks.
- Champion data governance data lineage and metadata management leveraging healthcare data catalogs and complying with data privacy and security standards.
- Optimize Databricks clusters and workflows for performance and cost including autoscaling performance tuning and workload management.
- Guide mentor and elevate project delivery teams on best practices for healthcare data engineering analytics and ML using Databricks.
- Communicate technical concepts effectively to cross-functional teams business leaders and technical teams.
- Lead or participate in Architecture Review Boards and governance committees for healthcare data solutions.
Required Skills & Experience:
- 7 years of experience in Data Architecture Engineering or Analytics with domain expertise in healthcare data and regulatory environments.
- 2 years hands-on experience architecting and implementing Databricks Lakehouse/Spark solutions at enterprise scale.
- Demonstrated proficiency in Python SQL and/or Scala for data engineering and analytics.
- Proven experience designing healthcare data lakes warehouses or real-time data pipelines to support analytics reporting ML or population health.
- Solid understanding of cloud platforms (AWS Azure or GCP) and cloud-native data security and privacy best practices.
- Familiarity with healthcare data interoperability standards (HL7 FHIR CCD X12 etc.) and HIPAA compliance.
- Strong communication presentation and collaboration skills working with technical and non-technical stakeholders.
- Databricks Architect/Data Engineer certifications (preferred).
Nice to Have:
- Experience with healthcare-specific data platforms EMR/EHR integration or clinical data models.
- Familiarity with data catalog and governance tools (Collibra).
Background in healthcare AI/ML and using Databricks for healthcare analytics or predictive modeling. - Experience leading or mentoring technical teams in a healthcare setting.
Education:
- Bachelors or Masters in Computer Science Information Systems Engineering or related field or equivalent experience.
Title: Databricks Architect Location: Atlanta GA Face 2 Face interview must Visa: H1B & H4 Job Description: The Databricks Architect will lead enterprise-scale healthcare data solutions by designing optimizing and deploying robust data architectures on the Databricks Lakehouse platform. The i...
Title: Databricks Architect
Location: Atlanta GA
Face 2 Face interview must
Visa: H1B & H4
Job Description:
The Databricks Architect will lead enterprise-scale healthcare data solutions by designing optimizing and deploying robust data architectures on the Databricks Lakehouse platform. The ideal candidate will bring deep expertise in Databricks healthcare data requirements (including HIPAA) and a proven track record of architecting data-driven analytic and AI/ML solutions for healthcare providers payers or life sciences organizations.
Key Responsibilities:
- Drive the design and implementation of scalable secure high-performing data architectures-including data lakes warehouses and real-time streaming-using Databricks and Apache Spark for large healthcare datasets.
- Lead architectural reviews create blueprints and develop architecture documentation aligning with healthcare regulatory requirements (HIPAA HITRUST etc.).
- Collaborate with business clinical and IT stakeholders to deliver solutions that accelerate analytics population health patient outcomes and operational efficiency.
- Oversee end-to-end data pipeline architecture-including ingestion ETL/ELT data transformation and advanced analytics on Databricks.
- Champion data governance data lineage and metadata management leveraging healthcare data catalogs and complying with data privacy and security standards.
- Optimize Databricks clusters and workflows for performance and cost including autoscaling performance tuning and workload management.
- Guide mentor and elevate project delivery teams on best practices for healthcare data engineering analytics and ML using Databricks.
- Communicate technical concepts effectively to cross-functional teams business leaders and technical teams.
- Lead or participate in Architecture Review Boards and governance committees for healthcare data solutions.
Required Skills & Experience:
- 7 years of experience in Data Architecture Engineering or Analytics with domain expertise in healthcare data and regulatory environments.
- 2 years hands-on experience architecting and implementing Databricks Lakehouse/Spark solutions at enterprise scale.
- Demonstrated proficiency in Python SQL and/or Scala for data engineering and analytics.
- Proven experience designing healthcare data lakes warehouses or real-time data pipelines to support analytics reporting ML or population health.
- Solid understanding of cloud platforms (AWS Azure or GCP) and cloud-native data security and privacy best practices.
- Familiarity with healthcare data interoperability standards (HL7 FHIR CCD X12 etc.) and HIPAA compliance.
- Strong communication presentation and collaboration skills working with technical and non-technical stakeholders.
- Databricks Architect/Data Engineer certifications (preferred).
Nice to Have:
- Experience with healthcare-specific data platforms EMR/EHR integration or clinical data models.
- Familiarity with data catalog and governance tools (Collibra).
Background in healthcare AI/ML and using Databricks for healthcare analytics or predictive modeling. - Experience leading or mentoring technical teams in a healthcare setting.
Education:
- Bachelors or Masters in Computer Science Information Systems Engineering or related field or equivalent experience.
View more
View less