Data Architect

Enterprise Data Architecture & Cloud Strategy

• Architect modern enterprise data platforms across On-Prem, Azure, and Fabric ecosystems.
• Define architectural standards, reusable patterns, roadmaps, and modernization strategies.
• Lead scalable ingestion, storage, transformation, and modeling frameworks.
• Drive cloud adoption with a focus on resiliency, standardization, and business alignment.

Strategic Architecture & Enterprise Responsibilities

Post-Merger Data Integration & Platform Consolidation

• Consolidate data environments, pipelines, and models across acquired companies.
• Integrate ERP, CRM, and operational systems into unified Lake/Lakehouse architectures.
• Establish reusable ingestion and onboarding frameworks for future acquisitions.
• Standardize canonical models and reduce duplicated or conflicting data assets.

Enterprise Lakehouse Architecture (Azure Microsoft Fabric)

• Design and operate Lakehouse architectures following Bronze/Silver/Gold patterns.
• Govern Fabric workspaces, Lakehouses, Pipelines, and semantic models.
• Define and maintain enterprise KPI frameworks and shared semantic layers.
• Ensure strong lineage, data quality, and operational observability.

Master Data Management (MDM) & Canonical Entity Design

• Define canonical entities (Customer, Product, Vendor, Location, etc.).
• Implement pragmatic MDM-lite or hybrid models that scale without unnecessary overhead.
• Resolve identity conflicts, hierarchy mismatches, and attribute drift across systems.
• Establish metadata, stewardship roles, and entity lifecycle governance.

Data Governance, Security & Compliance

• Architect scalable governance models supporting acquisitions and enterprise growth.
• Implement domain isolation, RLS/CLS, data certification, and metadata standards.
• Ensure compliance with SOX, privacy, and corporate data security policies.
• Partner with security teams to enforce consistent controls across platforms.

Platform Ownership & Operational Leadership

(Repositioned after Strategic responsibilities for better narrative flow.)

BI Platform Administration

• Oversee Power BI, Fabric, and on-prem BI platforms.
• Govern workspace hierarchy, capacity usage, semantic models, and performance.
• Ensure reliability, scalability, and governed data access.

SQL & DB2 DBA Leadership

• Provide direction to SQL Server and DB2 DBAs for performance, HA/DR, and maintenance.
• Govern schema lifecycle, environment consistency, and change management.
• Support DB2 and legacy system modernization and migration strategies.

Production Deployments & DevOps

• Govern CI/CD and deployment pipelines across On-Prem, Azure, and Fabric.
• Standardize automation, approvals, versioning, rollback, and SDLC practices.
• Manage deployments for ADF, Logic Apps, Azure SQL/Synapse, Cosmos DB, and Fabric.

Observability, Monitoring & Orchestration

• Architect end-to-end observability using New Relic.
• Implement dashboards, telemetry, alerting, and workload reliability standards.
• Govern enterprise scheduling and orchestration using Control-M.
• Drive proactive monitoring across pipelines, databases, and Fabric workloads.

Cross-Functional Leadership

• Provide architectural leadership and direction across data engineering, BI, and DBA teams to ensure alignment with enterprise data strategy.
• Lead decision making on data platform patterns, governance standards, and modernization initiatives.
• Mentor technical teams and drive adoption of best practices in cloud data engineering, DevOps, and Lakehouse architecture.

Technical Qualifications

Required

• 12–15 years in enterprise data architecture and cloud analytics.
• Expertise in data modeling, schema design, and large scale data systems.
• Advanced hands-on experience with ADF, Azure SQL, Synapse, and ADLS Gen2.
• Strong SQL Server background with performance tuning expertise.
• Experience with DB2/iSeries data structures and migration.
• Familiarity with Cosmos DB/NoSQL and Databricks/PySpark.

Preferred

• Azure DevOps, CI/CD, and Infrastructure-as-Code (ARM/Bicep/Terraform).
• Azure Entra ID and least privilege security architecture.
• Azure cost governance and optimization.
• Strong experience with Microsoft Fabric.