Sentara Healthcare Inc
Data Management Solution Leader – Remote
Sentara Healthcare Inc, Richmond, Virginia, United States, 23214
Overview
We are seeking a skilled and experienced
Data Management Solution Leader
to support enterprise-level data platform initiatives. The ideal candidate will have hands-on experience with
Databricks ,
Informatica ,
K2View , and
FHIR APIs , and be comfortable building and delivering robust solutions across
MDM ,
ODS , and
data lake environments . This role will be instrumental in enabling data governance, security, and quality across operational and analytical platforms. Key Responsibilities: Lead the design, build, and optimization of data pipelines and workflows using
Databricks
on Azure Lead the implementation of data masking and virtualization solutions using
K2View , ensuring secure and policy-compliant access to sensitive data. Contribute to the design and implementation of
ODS (Operational Data Store)
and
Lakebase
environments in Databricks. Integrate and manage
FHIR APIs
to ensure compliance with healthcare interoperability standards. Lead and support
MDM (Master Data Management)
solutions, ensuring high-quality reference and master data across systems. Design and deliver
Informatica Data Quality
rules and scorecards to monitor and improve data accuracy and integrity. Collaborate with cross-functional teams including application developers, business analysts, and data stewards to ensure robust data solutions. Document data flows, architecture, and technical specifications in accordance with enterprise standards. Education
Required to have 8 + years of relevant experience with a degree or Required to have
10+ years of relevant experience without a degree Certification/Licensure
No specific certification or licensure requirements Experience
Required Skills & Qualifications: 3+ years of leadership experience in data engineering, data integration, or similar roles. Proven expertise in
Databricks Understanding of data masking, data virtualization, and data delivery orchestration. Understanding of
FHIR APIs
and understanding of HL7/FHIR interoperability standards. Practical experience in
MDM design and delivery , preferably with tools such as Profisee, Reltio, or similar. Proficient in
Informatica Data Quality (IDQ)
for building rules, mappings, scorecards, and profiling activities. Strong SQL skills and familiarity with cloud-based data platforms (Azure or others). Ability to work independently and in a team-oriented, collaborative environment. Excellent communication and documentation skills. Preferred Qualifications: Healthcare or public sector data experience. Certifications in Databricks, Informatica, or cloud platforms. Familiarity with data governance and compliance frameworks (HIPAA, GDPR, etc.) We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for full-time employment is: $116,729.60 - $216,777.60. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Keywords: Databricks, Informatica, K2View, FHIR API, MDM, ODS, Informatica Data Quality, Databricks, IDQ, HIPAA, GDPR, Lakebase
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We are seeking a skilled and experienced
Data Management Solution Leader
to support enterprise-level data platform initiatives. The ideal candidate will have hands-on experience with
Databricks ,
Informatica ,
K2View , and
FHIR APIs , and be comfortable building and delivering robust solutions across
MDM ,
ODS , and
data lake environments . This role will be instrumental in enabling data governance, security, and quality across operational and analytical platforms. Key Responsibilities: Lead the design, build, and optimization of data pipelines and workflows using
Databricks
on Azure Lead the implementation of data masking and virtualization solutions using
K2View , ensuring secure and policy-compliant access to sensitive data. Contribute to the design and implementation of
ODS (Operational Data Store)
and
Lakebase
environments in Databricks. Integrate and manage
FHIR APIs
to ensure compliance with healthcare interoperability standards. Lead and support
MDM (Master Data Management)
solutions, ensuring high-quality reference and master data across systems. Design and deliver
Informatica Data Quality
rules and scorecards to monitor and improve data accuracy and integrity. Collaborate with cross-functional teams including application developers, business analysts, and data stewards to ensure robust data solutions. Document data flows, architecture, and technical specifications in accordance with enterprise standards. Education
Required to have 8 + years of relevant experience with a degree or Required to have
10+ years of relevant experience without a degree Certification/Licensure
No specific certification or licensure requirements Experience
Required Skills & Qualifications: 3+ years of leadership experience in data engineering, data integration, or similar roles. Proven expertise in
Databricks Understanding of data masking, data virtualization, and data delivery orchestration. Understanding of
FHIR APIs
and understanding of HL7/FHIR interoperability standards. Practical experience in
MDM design and delivery , preferably with tools such as Profisee, Reltio, or similar. Proficient in
Informatica Data Quality (IDQ)
for building rules, mappings, scorecards, and profiling activities. Strong SQL skills and familiarity with cloud-based data platforms (Azure or others). Ability to work independently and in a team-oriented, collaborative environment. Excellent communication and documentation skills. Preferred Qualifications: Healthcare or public sector data experience. Certifications in Databricks, Informatica, or cloud platforms. Familiarity with data governance and compliance frameworks (HIPAA, GDPR, etc.) We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for full-time employment is: $116,729.60 - $216,777.60. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Keywords: Databricks, Informatica, K2View, FHIR API, MDM, ODS, Informatica Data Quality, Databricks, IDQ, HIPAA, GDPR, Lakebase
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