Senior Data Engineer

Senior Data Architect

Job Summary

We are seeking an experienced Senior Data Architect - Data Analytics to join a dynamic technology team. The ideal candidate has a strong background in designing and developing modern data analytics solutions using Azure Data Factory (ADF), Snowflake, and Databricks, with a passion for building scalable, high-performance cloud data platforms.

This role requires expertise in data integration, ETL/ELT processes, cloud-based data architectures, and analytics engineering. The successful candidate will collaborate with cross-functional teams to deliver robust, secure, and scalable data solutions that support business objectives.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines across cloud platforms.

• Architect, develop, and implement ETL/ELT solutions using Azure Data Factory (ADF), Databricks, and Snowflake.

• Optimize data workflows, pipelines, and query performance to improve efficiency and reliability.

• Collaborate with business stakeholders to gather requirements and translate them into technical solutions.

• Ensure data security, governance, compliance, and adherence to cloud best practices.

• Partner with data engineers, analysts, and business teams to deliver end-to-end analytics solutions.

• Provide technical leadership and guidance on data architecture, solution design, and implementation.

• Support continuous improvement initiatives by evaluating emerging technologies and recommending enhancements to the data platform.

Required Qualifications

• 5-7 years of experience in data engineering and analytics using Azure Data Factory (ADF), Snowflake, and/or Databricks.

• Strong experience designing and implementing cloud-based data solutions.

• Excellent SQL development and query optimization skills.

• Strong knowledge of dimensional data modeling.

• Experience with cloud-based data architectures, including data lakes, lakehouses, and data warehouses.

• Proven ability to troubleshoot, optimize, and maintain ETL/ELT pipelines for performance and reliability.

• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience with Microsoft Fabric.

• Microsoft Azure and/or Power BI certifications.

• Experience deploying AI/ML solutions within cloud environments.

• Familiarity with data governance, security best practices, and big data processing frameworks.

What We Offer

• Opportunity to work with modern cloud data platforms and analytics technologies.

• Collaborative and supportive team environment.

• Professional growth and continuous learning opportunities.

• Competitive compensation and benefits.

• Flexible remote or hybrid work arrangements.