Data Engineer

Job Description:

Architect/Lead - Snowflake and DBT with Azure:

We are seeking a highly skilled and experienced Architect with expertise in Snowflake, DBT (Data Build Tool), and Azure to design, implement, and optimize data solutions. The Architect will play a critical role in driving the development of scalable, efficient, and secure data architectures, ensuring seamless integration, and enabling advanced analytics.

Key Responsibilities:

• Solution Design & Architecture:
  • Design end-to-end data solutions leveraging Snowflake, DBT, and Azure services to support business requirements.
  • Define architecture for scalable data pipelines, data lakes, and data warehouses.
  • Ensure adherence to best practices for performance optimization, cost efficiency, and security.
• Data Modeling & Engineering:
  • Develop and implement efficient data models in Snowflake to support reporting, analytics, and advanced use cases.
  • Utilize DBT to build modular, testable, and maintainable transformation workflows.
  • Oversee ETL/ELT processes using Azure Data Factory and other relevant tools.
• Integration & Collaboration:
  • Integrate Snowflake with Azure services, such as Azure Data Lake, Synapse, Logic Apps, and Power BI.
  • Collaborate with data engineers, business analysts, and other stakeholders to understand and translate business needs into technical solutions.
• Governance & Compliance:
  • Establish data governance frameworks, including access control, data lineage, and data cataloging.
  • Ensure solutions comply with organizational policies and regulatory standards (GDPR, CCPA, etc.).
• Performance Monitoring & Optimization:
  • Monitor and fine-tune Snowflake and DBT processes to maintain optimal performance.
  • Troubleshoot issues related to data processing, transformation, and integration.

Required Skills & Experience:

• Technical Expertise:
  • Strong proficiency in Snowflake architecture, including data sharing, partitioning, clustering, and materialized views.
  • Advanced experience with DBT for data transformations and workflow management.
  • Expertise in Azure services, including Azure Data Factory, Azure Data Lake, Azure Synapse, and Azure Functions.
• Data Engineering:
  • Proficiency in SQL, Python, or other relevant programming languages.
  • Strong understanding of data modeling concepts, including star schema and normalization.
  • Hands-on experience with ETL/ELT pipelines and data integration tools.
• Soft Skills:
  • Excellent problem-solving and analytical skills.
  • Strong communication and stakeholder management abilities.
  • Ability to work in agile teams and handle multiple priorities.

Preferred Qualifications:

• Certifications in Snowflake, DBT, or Azure Data Engineering.
• Familiar with data visualization tools like Power BI or Tableau.
• Knowledge of CI/CD pipelines and DevOps practices for data workflows.

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