Client Implementation Data Architect

Availity delivers revenue cycle and related business solutions for health care professionals who want to build healthy, thriving organizations. Availity has the powerful tools, actionable insights and expansive network reach that medical businesses need to get an edge in an industry constantly redefined by change.

The Implementation Data Architect (IDA) 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. This role serves as a trusted advisor to clients and internal stakeholders, translating business and functional requirements into scalable, secure, and cloud-native data solutions.

The IDA brings deep expertise in data modeling and cross-model data mapping, strong AWS cloud architecture experience, and hands-on exposure to AI-enabled data solutions. Success in this role requires exceptional presentation and communication skills, particularly when engaging with external clients and executive stakeholders.

• 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.

• 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.

• 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.

• 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.

After you apply, you will receive text/email messages thanking you for applying and then you will continue to receive more text/email messages alerting you as to where you are in the recruitment process.

• Recruiter Resume Review

• Manager Resume Review

• Recruiter Video Interview

• Panel Video Interview

• Manager Video Interview

• Final Video Interview

Video Camera Usage:

Availity fosters a collaborative and open culture where communication and engagement are central to our success.  As a remote first company, we are also camera-first and provide all associates with camera/video capability to simulate the office environment. If you are not able to use your camera for all virtual meetings, you should not apply for this role.

Having cameras on helps create a more connected, interactive, and productive environment, allowing teams to communicate more effectively and build stronger working relationships.  The usage of cameras also enhances security and protects sensitive company information. Video participation is required to ensure that only authorized personnel are present in meetings and to prevent unauthorized access, data breaches, preventing social engineering, or the sharing of confidential information with non-participants.

Availity is an equal opportunity employer and makes decisions in employment matters without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, gender expression, genetic information, national origin, religion, marital status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, and local laws and ordinances.

Availity is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

NOTICE: Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States. When required by state law or federal regulation, Availity uses I-9, Employment Eligibility Verification in conjunction with E-Verify to determine employment eligibility. Learn more about E-Verify at http://www.dhs.gov/e-verify.

Click the links below to view Federal Employment Notices.

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