[Remote] PDM Implementation Data Architect
Note: The job is a remote job and is open to candidates in USA. Availity is a healthcare technology company that delivers revenue cycle and related business solutions for healthcare professionals. The Implementation Data Architect is a senior, client-facing technical leader responsible for designing, mapping, and implementing complex data architectures that support enterprise-scale client onboarding and information exchange.
Responsibilities
⢠Lead the design and implementation of end-to-end data architectures supporting complex client implementations
⢠Develop and maintain conceptual, logical, and physical data models across multiple systems and platforms
⢠Architect and document source-to-target mappings, transformation logic, and data lineage across heterogeneous data models
⢠Ensure data solutions align with scalability, performance, security, and governance best practices
⢠Serve as the primary data architecture lead during client onboarding and implementation engagements
⢠Facilitate client workshops, discovery sessions, and data mapping reviews
⢠Present architecture designs, data flows, and implementation strategies to technical and non-technical client audiences
⢠Act as a trusted technical advisor, clearly articulating design options, trade-offs, and recommendations
⢠Design and implement cloud-native data solutions on Amazon Web Services (AWS)
⢠Leverage AWS services such as S3, EMR, Glue, Athena, Redshift, EC2, Lambda, and related components to build scalable data pipelines
⢠Ensure adherence to AWS Well-Architected Framework principles, including security, reliability, and cost optimization
⢠Support production data platforms with monitoring, performance tuning, and operational best practices
⢠Partner with engineering teams to support big data processing using Spark, Spark SQL, and Scala or PySpark
⢠Utilize Jupyter Notebooks for data analysis, validation, and prototyping
⢠Contribute to AI/ML-enabled data initiatives, including data preparation, feature engineering, and integration of AI outputs into downstream systems
⢠Ensure data quality, validation, reconciliation, and governance standards are met
⢠Work with structured and semi-structured data formats including XML, JSON, Parquet, Avro, and custom flat files
⢠Apply healthcare data standards (e.g., FHIR, HL7 where applicable) and best practices for provider data management
⢠Ensure systems and processes comply with HIPAA and healthcare data privacy regulations
⢠Collaborate with stakeholders to define and enforce data governance and security controls
⢠Translate business, functional, and technical requirements into clear and actionable architectural designs
⢠Support Agile delivery processes using Jira and Confluence
⢠Manage multiple complex client implementations in parallel while maintaining quality and delivery timelines
⢠Mentor and guide implementation analysts, data engineers, and junior architects
Skills
⢠Bachelor's Degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical discipline, or equivalent professional experience
⢠8+ years of experience in technology, data architecture, information exchange, and/or the healthcare domain
⢠5+ years of experience leading or architecting complex client implementations and data onboarding initiatives
⢠3+ years of experience in a senior data architecture or lead data engineering role
⢠Proven experience working directly with external clients in a consultative, client-facing capacity
⢠Expert knowledge of data modeling and cross-model data mapping
⢠Strong proficiency in SQL and enterprise databases (Oracle, MySQL, Aurora, Redshift, or equivalent)
⢠Extensive hands-on experience with AWS cloud services and data platforms
⢠Experience with big data and analytics technologies (Spark, Spark SQL, Scala or PySpark)
⢠Experience with RESTful APIs and API integration tools such as Postman
⢠Proficiency with Microsoft Office / Office 365 tools
⢠Exceptional presentation and communication skills, both written and verbal
⢠Ability to explain complex technical concepts to non-technical audiences
⢠Strong analytical, problem-solving, and decision-making skills
⢠Self-starter with the ability to work independently in fast-paced, ambiguous environments
⢠Strong organizational skills with the ability to manage multiple complex projects simultaneously
⢠Collaborative mindset with a positive, solution-oriented approach
⢠AWS certifications (e.g., AWS Solutions Architect, AWS Data Analytics)
⢠Experience with AI/ML platforms and services (e.g., SageMaker or equivalent)
⢠Familiarity with healthcare interoperability standards such as FHIR and HL7
⢠Prior experience in highly regulated environments
Benefits
⢠Competitive salary
⢠Bonus structure
⢠Generous HSA company contribution
⢠Healthcare
⢠Vision
⢠Dental benefits
⢠401k match program
⢠Unlimited PTO for salaried associates + 9 paid holidays
⢠Reimburse up to $250/year for gym memberships, participation in racing events, weight management programs, etc.
⢠Education reimbursement
⢠Paid Parental Leave for both moms and dads, both birth parents and adoptive parents
Company Overview
⢠Availity offers a free access to real-time information and instant responses for healthcare professionals. It was founded in 2001, and is headquartered in Jacksonville, Florida, USA, with a workforce of 1001-5000 employees. Its website is http://www.availity.com.
Apply tot his job
Apply To this Job
Responsibilities
⢠Lead the design and implementation of end-to-end data architectures supporting complex client implementations
⢠Develop and maintain conceptual, logical, and physical data models across multiple systems and platforms
⢠Architect and document source-to-target mappings, transformation logic, and data lineage across heterogeneous data models
⢠Ensure data solutions align with scalability, performance, security, and governance best practices
⢠Serve as the primary data architecture lead during client onboarding and implementation engagements
⢠Facilitate client workshops, discovery sessions, and data mapping reviews
⢠Present architecture designs, data flows, and implementation strategies to technical and non-technical client audiences
⢠Act as a trusted technical advisor, clearly articulating design options, trade-offs, and recommendations
⢠Design and implement cloud-native data solutions on Amazon Web Services (AWS)
⢠Leverage AWS services such as S3, EMR, Glue, Athena, Redshift, EC2, Lambda, and related components to build scalable data pipelines
⢠Ensure adherence to AWS Well-Architected Framework principles, including security, reliability, and cost optimization
⢠Support production data platforms with monitoring, performance tuning, and operational best practices
⢠Partner with engineering teams to support big data processing using Spark, Spark SQL, and Scala or PySpark
⢠Utilize Jupyter Notebooks for data analysis, validation, and prototyping
⢠Contribute to AI/ML-enabled data initiatives, including data preparation, feature engineering, and integration of AI outputs into downstream systems
⢠Ensure data quality, validation, reconciliation, and governance standards are met
⢠Work with structured and semi-structured data formats including XML, JSON, Parquet, Avro, and custom flat files
⢠Apply healthcare data standards (e.g., FHIR, HL7 where applicable) and best practices for provider data management
⢠Ensure systems and processes comply with HIPAA and healthcare data privacy regulations
⢠Collaborate with stakeholders to define and enforce data governance and security controls
⢠Translate business, functional, and technical requirements into clear and actionable architectural designs
⢠Support Agile delivery processes using Jira and Confluence
⢠Manage multiple complex client implementations in parallel while maintaining quality and delivery timelines
⢠Mentor and guide implementation analysts, data engineers, and junior architects
Skills
⢠Bachelor's Degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical discipline, or equivalent professional experience
⢠8+ years of experience in technology, data architecture, information exchange, and/or the healthcare domain
⢠5+ years of experience leading or architecting complex client implementations and data onboarding initiatives
⢠3+ years of experience in a senior data architecture or lead data engineering role
⢠Proven experience working directly with external clients in a consultative, client-facing capacity
⢠Expert knowledge of data modeling and cross-model data mapping
⢠Strong proficiency in SQL and enterprise databases (Oracle, MySQL, Aurora, Redshift, or equivalent)
⢠Extensive hands-on experience with AWS cloud services and data platforms
⢠Experience with big data and analytics technologies (Spark, Spark SQL, Scala or PySpark)
⢠Experience with RESTful APIs and API integration tools such as Postman
⢠Proficiency with Microsoft Office / Office 365 tools
⢠Exceptional presentation and communication skills, both written and verbal
⢠Ability to explain complex technical concepts to non-technical audiences
⢠Strong analytical, problem-solving, and decision-making skills
⢠Self-starter with the ability to work independently in fast-paced, ambiguous environments
⢠Strong organizational skills with the ability to manage multiple complex projects simultaneously
⢠Collaborative mindset with a positive, solution-oriented approach
⢠AWS certifications (e.g., AWS Solutions Architect, AWS Data Analytics)
⢠Experience with AI/ML platforms and services (e.g., SageMaker or equivalent)
⢠Familiarity with healthcare interoperability standards such as FHIR and HL7
⢠Prior experience in highly regulated environments
Benefits
⢠Competitive salary
⢠Bonus structure
⢠Generous HSA company contribution
⢠Healthcare
⢠Vision
⢠Dental benefits
⢠401k match program
⢠Unlimited PTO for salaried associates + 9 paid holidays
⢠Reimburse up to $250/year for gym memberships, participation in racing events, weight management programs, etc.
⢠Education reimbursement
⢠Paid Parental Leave for both moms and dads, both birth parents and adoptive parents
Company Overview
⢠Availity offers a free access to real-time information and instant responses for healthcare professionals. It was founded in 2001, and is headquartered in Jacksonville, Florida, USA, with a workforce of 1001-5000 employees. Its website is http://www.availity.com.
Apply tot his job
Apply To this Job