Azure Data Architect

Essential Skills

• Data Architecture & Modeling:
  Strong experience in dimensional, relational, and No
  
  SQL storage design; data modeling (normalized, star, snowflake schemas), EDW & ODS.
• Cloud Data Implementation:
  Proven experience in designing and implementing secure, scalable cloud data solutions on Azure; familiarity with MPP architectures.
• Data Integration & Processing: ETL (batch and real-time), streaming services, and integration techniques for large-scale data flows.
• Data Lake & Cloud Warehouse:
  Hands-on experience with ADLS and Azure Synapse; working knowledge of Snowflake and AWS Lake Formation.
• Predictive Analytics & ML:
  Basic understanding of statistical modeling, linear/logistic regression, and exploratory data analysis.
• Master Data Management:
  Expertise in MDM and reference data management practices.

Must Have Technical/Functional Skills

• Azure Data Services Expertise:
  Azure Synapse (mandatory), Azure Data Factory (ADF), Databricks, ADLS, Azure Analysis Services, Power BI, and Azure Monitor.
• Data Architecture & Modeling:
  Strong experience in dimensional, relational, and No
  
  SQL storage design; data modeling (normalized, star, snowflake schemas), EDW & ODS.
• Cloud Data Implementation:
  Proven experience in designing and implementing secure, scalable cloud data solutions on Azure; familiarity with MPP architectures.
• Data Integration & Processing: ETL (batch and real-time), streaming services, and integration techniques for large-scale data flows.
• Data Lake & Cloud Warehouse:
  Hands-on experience with ADLS and Azure Synapse; working knowledge of Snowflake and AWS Lake Formation.
• Predictive Analytics & ML:
  Basic understanding of statistical modeling, linear/logistic regression, and exploratory data analysis.
• Master Data Management:
  Expertise in MDM and reference data management practices.

• Domain Knowledge:
  Deep understanding of upstream systems such as ERP, CRM, Sales Operations (territory/quota management), pricing, contract management, and master data systems.
• End-to-End Architecture Design:
  Ability to design high-level and low-level solutions, including data management and processing flows.
• Business Intelligence & Analytics:
  Strong background in BI solution design, data profiling, and reporting requirements.
• Collaboration & Integration:
  Work closely with enterprise architects, technical leads, and cross-functional teams to integrate technology and functionality.
• Solution Review & Governance:
  Conduct design reviews, ensure compliance with governance standards, and accommodate feedback from stakeholders.
• Communication & Leadership:
  Clear communication between business stakeholders and IT teams; ability to guide teams through technical challenges.

Salary Range: $150,000-$175,000 per year.

• 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, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

BACHELOR OF COMPUTER SCIENCE