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Compunnel, Inc.
Principal Azure D&A Architect
Career Insights for Software Architect (General)
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What they do
A Software Architect develops and defines the architecture for computer software and applications projects. Oversees the entire software development process; may manage projects for multiple clients. Analyzes customer or user needs, defines system architecture, and leads team of software developers to design programs and build applications.
$141,347 / year median in Pennsylvania
-6% projected decline
Job Description
Job Summary We are seeking a Principal Azure D&A Architect to lead the strategy, design, and governance of the enterprise data ecosystem. The role will focus on Data Governance, Data Modeling, modern Azure data architecture, Databricks, and AI/ML capabilities while providing technical leadership and aligning data strategy with business objectives. Key Responsibilities
- Design robust enterprise data models, including Conceptual, Logical, and Physical models, for scalable Azure Lakehouse and Data Warehouse environments.
- Develop enterprise data architecture blueprints and establish scalable data architecture patterns.
- Establish and implement Data Governance frameworks, policies, standards, and processes.
- Implement data lineage and metadata management capabilities using tools such as Azure Purview.
- Define and implement data quality, security, compliance, and governance standards across the enterprise data ecosystem.
- Architect modern data pipelines and processing solutions using Azure Databricks.
- Leverage Delta Lake and PySpark to support scalable data engineering and analytics workloads.
- Collaborate with data science teams to integrate and scale AI/ML workloads within the enterprise data platform.
- Guide data engineering teams on architecture, design patterns, and technical best practices.
- Collaborate with executive stakeholders to align technology roadmaps and data strategies with business objectives.
- Provide technical leadership and governance across enterprise data architecture initiatives. Required Qualifications
- 10+ years of experience in Data Architecture with deep expertise in the Azure Data Stack.
- Strong hands-on experience with Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Azure Synapse, and Azure Purview.
- Strong expertise in Data Modeling methodologies, including Star Schema, Snowflake, and Data Vault.
- Proven experience designing and implementing Data Governance and metadata management frameworks.
- Practical experience with Azure Databricks, Delta Lake, and PySpark.
- Familiarity with AI/ML integration, MLOps, or Azure OpenAI services.
- Strong understanding of enterprise data architecture, governance, data quality, and metadata management.
- Relevant Azure or Databricks certifications. Preferred Qualifications
- Experience leading enterprise-scale Azure data architecture initiatives.
- Experience integrating AI/ML capabilities into modern Azure data platforms.
- Experience establishing enterprise data governance and lineage frameworks.
- Strong technical leadership and stakeholder-management skills.