Data Architect

BravoTech

$120K — $150K *
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

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

Responsibilities

  • Architect modern data platforms across On-Prem, Azure, and Fabric ecosystems.
  • Define architectural standards and modernization strategies.
  • Lead scalable data ingestion, storage, transformation, and modeling frameworks.
  • Consolidate data environments and pipelines across acquired companies.
  • Design Lakehouse architectures following Bronze/Silver/Gold patterns.
  • Establish metadata governance and entity lifecycle management.
  • Architect scalable data governance models to support growth and compliance.

Benefits

  • Opportunity to lead and influence enterprise-level data strategies and cloud adoption.
  • Collaboration with cross-functional teams on data engineering and governance best practices.
  • Access to cutting-edge tools and platforms like Azure and Microsoft Fabric.
  • Engagement in post-merger integration projects, enriching organizational data capabilities.
Full Job Description
Job Description

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.


Meet Your Recruiter

Logan Ridgley

Similar Jobs

More Jobs at BravoTech

More Information Technology Jobs

Find similar Data Architect jobs: