Job Description

Title: Sr. Data Engineer/Architect

Location : US Remote

Work Authorization : US Citizen or Green Card

SCOPE:

Kanini is seeking a highly skilled Lead Data Engineer/Architect with deep expertise in Azure Data Service technologies, Power BI, and strong Snowflake experience. This role plays a key part in supporting our data-driven initiatives by designing and maintaining scalable data infrastructure and ensuring seamless access to critical insights across the organization.

Key Responsibilities

• Data Infrastructure & Architecture: Design, build, and maintain high-performance, scalable, and reliable data pipelines and data architectures on Azure platforms.
• Data Warehousing: Develop and manage cloud-based data warehouse solutions, particularly using Snowflake , ensuring optimized storage and query performance.
• ETL/ELT Development: Create robust ETL/ELT processes to ingest structured and unstructured data from diverse sources, including point-of-sale (POS) systems, product usage logs, web/eCommerce platforms, and geolocation data.
• Analytics & Reporting Enablement: Enable data access for business users and analysts by building effective reporting layers and dashboards using tools like Power BI.
• Collaboration & Stakeholder Engagement: Work closely with data analysts, data scientists, and business stakeholders to define data requirements and deliver actionable insights aligned with business goals.
• Performance Optimization & Troubleshooting: Monitor data pipelines for performance, reliability, and integrity. Optimize queries, manage data partitioning and clustering, and resolve technical issues swiftly.
• Governance & Security: Ensure adherence to data governance, quality, and security best practices across all data handling processes.
• Tooling: Utilize modern data orchestration and workflow tools such as Cloud Composer (Apache Airflow) , ADF , Pub/Sub , and Cloud Storage to support data movement and transformation.

Required Qualifications

• Strong proficiency in SQL with expertise in advanced query tuning and performance optimization.
• Solid hands-on experience with PySpark for data engineering tasks.
• Proven experience working with cloud platforms especially integrating with Snowflake .
• Familiarity with Azure Data Factory , Synapse Analytics , and Microsoft Fabric .
• Deep understanding of data modeling and the ability to design scalable data solutions.
• Demonstrated ability to implement and enforce data governance and security practices.
• Experience in agile and product-centric environments .
• Excellent communication and collaboration skills, with a proactive approach to stakeholder engagement.

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