
Lead Data Integration Architect
Posted Aug 27

Posted Aug 27
This is a fully remote position, open to applicants in United States.
• Oversee the architectural evaluation of the existing DRIVE/Vital IQ and replica environments.
• Conduct technical discovery sessions with IDOH teams, system owners, external partners, and data consumers.
• Record the current-state architecture, data flows, interfaces, integration patterns, and system dependencies.
• Create an inventory of upstream and downstream systems, APIs, extracts, batch jobs, scheduled outputs, and data exchanges.
• Examine how data is generated, altered, transmitted, accessed, shared, and utilized.
• Evaluate API, ETL, batch, real-time, near-real-time, and event-driven integration patterns.
• Identify undocumented interfaces, operational dependencies, architectural risks, inefficiencies, and constraints.
• Produce integration diagrams, data-flow diagrams, interface inventories, and dependency maps.
• Assess Snowflake, Microsoft Azure data services, cloud data warehouses, data lakes, data lakehouses, and Analytics Cloud Environments.
• Evaluate opportunities for governed data sharing and secure self-service analytics.
• Analyze identity, authentication, authorization, role-based access, audit, encryption, privacy, and compliance requirements.
• Review data lineage, data quality, availability, latency, processing schedules, and service-level requirements.
• Define and compare vendor-neutral future-state architecture alternatives.
• Consider options for replacing or reducing dependency on the existing DRIVE replica.
• Suggest approaches for real-time, near-real-time, batch, API-based, and data-sharing strategies.
• Document the benefits, risks, dependencies, assumptions, limitations, and implementation considerations for architectural options.
• Create a conceptual future-state architecture and modernization roadmap.
• Assist in implementation sequencing, staffing assumptions, level-of-effort estimates, and Rough Order of Magnitude cost estimates.
• Contribute to gap analysis, findings, executive summaries, and presentation materials.
• Present technical findings and recommendations to both technical and executive stakeholders.
• Collaborate with project management, business analysis, security, governance, and cost-estimation teams.
• Ensure that recommendations are secure, scalable, supportable, vendor-neutral, and aligned with IDOH’s long-term data modernization goals.
• Proven experience in data integration architecture, data architecture, enterprise architecture, solution architecture, or a related technical field.
• Experience in evaluating complex data environments with multiple source systems, interfaces, downstream consumers, and external partners.
• Strong understanding of API design, management, and integration patterns.
• Familiarity with ETL and ELT processes and technologies.
• Experience in designing or assessing batch, real-time, near-real-time, file-based, and event-driven integrations.
• Experience with enterprise data exchanges and data-sharing frameworks.
• Proven ability to document current-state architecture, interfaces, integrations, data flows, dependencies, and data lineage.
• Experience in evaluating cloud-based data platforms and modern analytics environments.
• Experience developing future-state architecture options and data modernization recommendations.
• Understanding of cloud data warehouses, data lakes, data lakehouses, and analytics platforms.
• Knowledge of governed data-sharing and self-service analytics models.
• Familiarity with identity and access management, role-based access control, encryption, audit, privacy, security, and data governance requirements.
• Experience in identifying architectural gaps, risks, inefficiencies, constraints, and modernization opportunities.
• Proven ability to lead technical discovery sessions, stakeholder interviews, workshops, and architecture reviews.
• Ability to translate complex technical findings into clear, actionable recommendations.
• Strong skills in technical writing, diagramming, analytical thinking, facilitation, and presentation.
• Effective communication skills with technical teams, business stakeholders, external partners, and executive leadership.
• Creativity and adaptability in problem-solving.
• Ability to collaborate with clients to discern their needs.
• Excellent organizational and time-management capabilities.
• Outstanding written and verbal communication skills.
• Professional demeanor.
• E-Verify employment eligibility is required for newly hired employees.
• Competitive salaries.
• Generous Paid Time Off (PTO) package.
• Paid holidays in accordance with the Federal calendar.
• Comprehensive health benefits that include medical, dental, vision, and life insurance.
• 401(k) retirement plan.
• Team-building events.
• Support for professional development.
Sigma Software Group
Sigma Software Group
BIP Brasil
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