Azure Data Architect

About the Role

We are seeking an Azure Data Architect to lead the design and implementation of an enterprise data ecosystem. The Data Architect will shape the cloud data strategy, build robust data pipelines, and ensure seamless data flow across storage, analytics, and reporting layers. Collaborating with engineers, product managers, and business leaders, you will transform complex data needs into simple technical solutions.

Responsibilities

• Design and implement secure, scalable, and cost-effective cloud data architectures using Azure services like Azure Synapse Analytics, Azure Databricks, and Azure Data Lake Storage.
• Create and optimize batch and streaming ETL/ELT workflows using Azure Data Factory and Spark frameworks.
• Develop relational and dimensional data models, including conceptual, logical, and physical models for structured and unstructured data.
• Set up data governance, quality standards, and lineage tracking using tools like Microsoft Purview.
• Lead the migration of legacy on-premises/Azure databases and data warehouses to Azure or GCP cloud environments with minimal downtime.
• Implement access controls, data masking, and role-based security using Azure Active Directory and Key Vault.
• Provide technical guidance and best practices to data engineering and development teams.
• Monitor, troubleshoot, and optimize data storage, cost efficiency, and query performance in BigQuery and other database layers.

Requirements

• Deep hands-on knowledge of Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure.
• Strong proficiency in Python or Scala for data processing.
• Experience with BigQuery, Dataflow, Dataproc, Cloud Storage, and Cloud SQL/Spanner.
• Understanding of ETL/ELT processes, data warehousing principles, streaming/batch data processing, and data modeling.
• Experience in setting up data governance, quality standards, and lineage tracking.
• Proven track record in migrating legacy systems to cloud environments.

Qualifications

• Good-to-have experience with Snowflake, Kafka/Event Hub, Power BI, Machine Learning integration on Azure, and Terraform or Infrastructure as Code (IaC).

Pay

Salary Range: $100,000 - $140,000 per year

Benefits

• Discretionary Annual Incentive
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
• Family Support: Maternal & Parental Leaves
• Insurance Options: Auto & Home Insurance, Identity Theft Protection
• Convenience & Professional Growth: Commuter Benefits, Certification & Training Reimbursement
• Time Off: Vacation, Sick Leave & Holidays
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing