Senior Data Engineer/Architect

Title: Sr. Data Engineer/ArchitectLocation: US RemoteWork Authorization: US Citizen or Green CardType: Contract to hire/FTESCOPE:Kanini is seeking a highly skilled Senior Data Engineer with deep expertise in Microsoft technologies, Power BI, and strong working knowledge of both Azure Data Services and Google Cloud Platform (GCP). 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 ResponsibilitiesData Infrastructure & Architecture: Design, build, and maintain high-performance, scalable, and reliable data pipelines and data architectures on Azure and GCP platforms.Data Warehousing: Develop and manage cloud-based data warehouse solutions, particularly using BigQuery and 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, Tableau, and Looker.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 QualificationsStrong proficiency in SQL with expertise in advanced query tuning and performance optimization.Solid hands-on experience with Python for data engineering tasks.Proven experience working with cloud platforms (Azure and/or GCP), 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.

Created: 2025-06-24