HAI Group
Position Overview
The senior data architect is an individual contributor who leads the strategy and hands?on architecture of HAIs enterprise data platform. This role ensures trusted, secure, and performant data for analytics and reporting today while establishing the runway for future capabilities. The Data Architect partners across Applications, Infrastructure/Cloud, Cybersecurity, and business stakeholders and operates within HAIs SAFe Agile processes. Essential Functions
Architecture & Strategy Own and evolve the enterprise data architecture roadmap aligned to business priorities, balancing near?term delivery with long?term scalability. Define reference architectures across data warehouse, and lakehouse patterns; set standards for modeling, integration, and access. Evaluate emerging technologies; lead proofs?of?concept and make recommendations for adoption. Translate business needs into platform capabilities and sequencing with stakeholders.
Data Modeling & Integration Own canonical/subject?area models and dimensional designs (e.g., star, data vault) to support trusted analytics and operational reporting. Set standards for data contracts, schema evolution, and metadata conventions across pipelines and data stores. Guide and review ELT/ETL designs for reliability, performance, and reusability. Establish lineage and documentation so teams and auditors can trace data origin, transformation, and use.
Data Governance, Security & Quality Define and enforce data governance policies (classification, retention, access) with data owners and the Security team. Set data quality expectations/SLOs and implement monitoring/alerting with documented remediation workflows. Ensure role?based access control, encryption, and privacy?by?design practices across the stack. Maintain rigorous change control and testing processes for data systems.
Platform Engineering & Operations Define reliability, observability, and cost guidelines; collaborate with Infrastructure/Cloud to plan capacity, scaling, and cost optimization. Champion CI/CD and infrastructure?as?code patterns for data components (e.g., ARM/Bicep/Terraform) and promote automated testing for data pipelines. Oversee environment strategy (dev/test/prod), release readiness, backup/restore, and disaster recovery for data assets.
Analytics Enablement Define and maintain the enterprise semantic layer to enable governed self?service analytics in Power?BI. Optimize data models and query performance for BI; coach analysts on modeling/DAX best practices. Partner with underwriting, claims, actuarial, finance, and other domains to translate use cases into scalable data solutions.
Stakeholder, Vendor & Partner Leadership Serve as the architectural focal point with internal teams and selected vendors for the data warehouse/lakehouse program. Communicate architectural decisions, trade?offs, and roadmaps to technical and non?technical audiences.
People Leadership, Mentorship & Collaboration Mentor data engineers and analysts via reviews, pairing, and reusable patterns; set clear quality bars across modeling, integration, and BI. Foster a culture of craftsmanship, documentation, and continuous improvement within the data community.
Cross?Domain Collaboration Applications: Co?design data contracts and change?safe schemas; plan versioning/compatibility; embed performance & reliability NFRs into app delivery. Infrastructure/Cloud: Align on capacity, performance, and cost guardrails (Synapse/Databricks/ADLS); define observability/DR for pipelines and data stores. Cybersecurity: Build to the Information Security Charter and A.6 Security Policy; engage early on risk reviews and incident runbooks.
SAFe Agile Participate in PI Planning, System Demos, Inspect & Adapt; coordinate dependencies with RTE, System Architect/Engineering, Product Management/Owners. Shape the flow of data work: propose Enablers for platform runway; set Definition of Ready/Done for data items (tests, lineage, docs, performance). Where domains overlap, create lightweight working agreements so responsibilities are clear without added bureaucracy.
Competencies
Relational database structures, principles, and practices for transactional and analytic architectures. Understanding of insurance industry concepts and ability to model insurance data domains. SQL Server and Azure data services (Synapse, Data Factory, Data Lake). Power?BI semantic models, DAX, and modern BI practices. Concepts across OLTP, ETL/ELT, dimensional modeling, lakehouse patterns. Data governance and security practices (classification, RBAC, encryption, change control). Critical decision?making; structured problem solving and trade?off analysis. Clear written and verbal communication tailored to technical and business audiences. Cross?team collaboration; creates value?added partnerships and working agreements. Coach and mentor team members; inspire and motivate without line authority. Demonstrated ownership mindset and genuine concern for stakeholders.
Job Requirements
Bachelors degree or equivalent combination of education and experience. 5+ years of experience across data architecture/engineering roles. Experience modelling insurance data structures and translating insurance business processes into scalable data solutions preferred. Demonstrated experience operating enterprise data platforms on Azure and orchestrating ELT/ETL. Hands?on expertise with SQL performance tuning and enterprise data modeling. Experience working in SAFe or scaled agile environments.
Work Environment and Physical Demands
Inside climate?controlled office building. Prolonged sitting and using a PC.
Senior Data Architect. (Additional note: Further responsibilities and activities may change at any time with or without notice.) Equal Opportunity Employer
HAI Group is an Equal Opportunity Employer. No agency submissions please. Resumes submitted to any HAI Group employee without a current, signed and valid contract in place with the HAI Group Recruiting team for this position will become the property of HAI Group and no agency fees will be paid. Benefits and Perks Bonus program eligibility Annual merit program Outstanding 401(k) program and non?elective contribution Flexible work schedules Generous paid time off, paid volunteer days and paid holidays Medical, vision and dental insurance Company paid life; AD&D, short?term disability, and long?term disability coverage HSA, FSA and dependent care options On?site wellness: Full gym and locker rooms, wellness initiatives, outdoor basketball and tennis courts, picnic pavilion area Tuition reimbursement and loan repayment Professional development Community outreach
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The senior data architect is an individual contributor who leads the strategy and hands?on architecture of HAIs enterprise data platform. This role ensures trusted, secure, and performant data for analytics and reporting today while establishing the runway for future capabilities. The Data Architect partners across Applications, Infrastructure/Cloud, Cybersecurity, and business stakeholders and operates within HAIs SAFe Agile processes. Essential Functions
Architecture & Strategy Own and evolve the enterprise data architecture roadmap aligned to business priorities, balancing near?term delivery with long?term scalability. Define reference architectures across data warehouse, and lakehouse patterns; set standards for modeling, integration, and access. Evaluate emerging technologies; lead proofs?of?concept and make recommendations for adoption. Translate business needs into platform capabilities and sequencing with stakeholders.
Data Modeling & Integration Own canonical/subject?area models and dimensional designs (e.g., star, data vault) to support trusted analytics and operational reporting. Set standards for data contracts, schema evolution, and metadata conventions across pipelines and data stores. Guide and review ELT/ETL designs for reliability, performance, and reusability. Establish lineage and documentation so teams and auditors can trace data origin, transformation, and use.
Data Governance, Security & Quality Define and enforce data governance policies (classification, retention, access) with data owners and the Security team. Set data quality expectations/SLOs and implement monitoring/alerting with documented remediation workflows. Ensure role?based access control, encryption, and privacy?by?design practices across the stack. Maintain rigorous change control and testing processes for data systems.
Platform Engineering & Operations Define reliability, observability, and cost guidelines; collaborate with Infrastructure/Cloud to plan capacity, scaling, and cost optimization. Champion CI/CD and infrastructure?as?code patterns for data components (e.g., ARM/Bicep/Terraform) and promote automated testing for data pipelines. Oversee environment strategy (dev/test/prod), release readiness, backup/restore, and disaster recovery for data assets.
Analytics Enablement Define and maintain the enterprise semantic layer to enable governed self?service analytics in Power?BI. Optimize data models and query performance for BI; coach analysts on modeling/DAX best practices. Partner with underwriting, claims, actuarial, finance, and other domains to translate use cases into scalable data solutions.
Stakeholder, Vendor & Partner Leadership Serve as the architectural focal point with internal teams and selected vendors for the data warehouse/lakehouse program. Communicate architectural decisions, trade?offs, and roadmaps to technical and non?technical audiences.
People Leadership, Mentorship & Collaboration Mentor data engineers and analysts via reviews, pairing, and reusable patterns; set clear quality bars across modeling, integration, and BI. Foster a culture of craftsmanship, documentation, and continuous improvement within the data community.
Cross?Domain Collaboration Applications: Co?design data contracts and change?safe schemas; plan versioning/compatibility; embed performance & reliability NFRs into app delivery. Infrastructure/Cloud: Align on capacity, performance, and cost guardrails (Synapse/Databricks/ADLS); define observability/DR for pipelines and data stores. Cybersecurity: Build to the Information Security Charter and A.6 Security Policy; engage early on risk reviews and incident runbooks.
SAFe Agile Participate in PI Planning, System Demos, Inspect & Adapt; coordinate dependencies with RTE, System Architect/Engineering, Product Management/Owners. Shape the flow of data work: propose Enablers for platform runway; set Definition of Ready/Done for data items (tests, lineage, docs, performance). Where domains overlap, create lightweight working agreements so responsibilities are clear without added bureaucracy.
Competencies
Relational database structures, principles, and practices for transactional and analytic architectures. Understanding of insurance industry concepts and ability to model insurance data domains. SQL Server and Azure data services (Synapse, Data Factory, Data Lake). Power?BI semantic models, DAX, and modern BI practices. Concepts across OLTP, ETL/ELT, dimensional modeling, lakehouse patterns. Data governance and security practices (classification, RBAC, encryption, change control). Critical decision?making; structured problem solving and trade?off analysis. Clear written and verbal communication tailored to technical and business audiences. Cross?team collaboration; creates value?added partnerships and working agreements. Coach and mentor team members; inspire and motivate without line authority. Demonstrated ownership mindset and genuine concern for stakeholders.
Job Requirements
Bachelors degree or equivalent combination of education and experience. 5+ years of experience across data architecture/engineering roles. Experience modelling insurance data structures and translating insurance business processes into scalable data solutions preferred. Demonstrated experience operating enterprise data platforms on Azure and orchestrating ELT/ETL. Hands?on expertise with SQL performance tuning and enterprise data modeling. Experience working in SAFe or scaled agile environments.
Work Environment and Physical Demands
Inside climate?controlled office building. Prolonged sitting and using a PC.
Senior Data Architect. (Additional note: Further responsibilities and activities may change at any time with or without notice.) Equal Opportunity Employer
HAI Group is an Equal Opportunity Employer. No agency submissions please. Resumes submitted to any HAI Group employee without a current, signed and valid contract in place with the HAI Group Recruiting team for this position will become the property of HAI Group and no agency fees will be paid. Benefits and Perks Bonus program eligibility Annual merit program Outstanding 401(k) program and non?elective contribution Flexible work schedules Generous paid time off, paid volunteer days and paid holidays Medical, vision and dental insurance Company paid life; AD&D, short?term disability, and long?term disability coverage HSA, FSA and dependent care options On?site wellness: Full gym and locker rooms, wellness initiatives, outdoor basketball and tennis courts, picnic pavilion area Tuition reimbursement and loan repayment Professional development Community outreach
#J-18808-Ljbffr