We are seeking an accomplished technical leader to drive the strategy and execution of our enterprise data platform initiatives. In this pivotal role, the successful candidate will oversee the design, implementation, and optimization of scalable Snowflake-based data warehousing solutions. This position is critical for ensuring data integrity, enhancing analytical capabilities, and fostering a culture of technical excellence within the data engineering team. The ideal professional will bridge the gap between complex data architecture and business objectives, delivering robust, high-performance data systems that support organizational growth.
Responsibilities
Architect and deploy enterprise-grade data solutions on the Snowflake platform, ensuring scalability, security, and cost-efficiency.
Define and enforce data architecture best practices, governance standards, and integration patterns across the organization.
Lead the end-to-end software quality assurance and delivery lifecycle for data products, ensuring reliability and performance.
Provide technical mentorship and guidance to data engineers and analysts, cultivating a high-performing team culture.
Manage the integration and transformation of diverse data sources into a unified, accessible data lakehouse environment.
Collaborate with cross-functional stakeholders to translate business requirements into technical specifications and solution designs.
Monitor system performance and implement continuous improvement strategies to optimize data processing workflows.
Requirements
Requirements:
Experience: 8 to 12 years of professional experience in data engineering, architecture, or related technical fields.
Core Expertise: Proven track record in designing and managing Snowflake Data Warehouses and Cloud Data Architecture.
Technical Skills: Deep proficiency in data integration, transformation techniques, and scalable data solution development.
Leadership: Demonstrated ability in technical leadership, team management, and mentoring junior staff.
Quality Assurance: Strong background in software quality processes and delivery methodologies within data-centric environments.
Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline (or equivalent practical experience).
Compensation: Competitive salary range of ₹18-22 LPA.
... Architect or AWS Certified Data Engineer- dbt certification; experience with Kafka, Iceberg and open table formatSKILLS AND COMPETENCIES:Core Snowflake (Primary):- Snowflake architecture: virtual warehouses, micro-partitions, clustering keys, caching layers, query profile analysis and performance tuning- Snowflake data engineering ...
... have strong Python programming https://jobeax.com/link/l9VxKPoHxfPAR8Dc to Have : - Experience with Cortex AI : Experience with Cortex AI integration with Snowflake.- Experience with Snowflake Data Warehouse : Experience with Snowflake Data Warehouse, including data modeling and performance optimization.- Experience with ...
... management of the enterprise data https://jobeax.com/link/f5FQc9SxrVvnQKkz incumbent will lead the end-to-end delivery of data integration pipelines using Azure Data Factory (ADF) and Informatica, manage the cloud data warehouse on Snowflake or Azure Synapse, and drive the enterprise data modeling strategy across all business ...
... data warehousing and data marts, with at least 5 years focused on leadership of Snowflake warehousing team(s).- Demonstrable hands-on experience with: Cloud data architectures: Snowflake, AWS S3, HVR at minimum. Multi-cloud experience preferred. Data governance and cataloging: including any of the following (preferred ...
... Databricks, Data Factory or Snowflake.- Cloud & Modern Data Stack: Experience with AWS / Azure / GCP. Exposure to Snowflake or Databricks and Understanding of Data Lake / Lakehouse architectures- Data Engineering & BI: Experience and exposure to Data modelling (dimensional modelling preferred), Data warehouse concepts and ...
... Experience with big data platforms and tools (Spark, Hadoop, or cloud data services).- Knowledge of database design and data modeling.- Understanding of ETL and data integration concepts.- Experience in Cloud data platforms like Snowflake and AWS, EMR/Athena is a must.- Experience in building modern data lakehouse architectures ...
... also providing technical guidance and people leadership to team members deployed across multiple client engagements. Architecture & Delivery - Own end-to-end Snowflake solution architecture: data modelling, warehouse sizing and cost optimization, RBAC/security design, data sharing, and performance tuning - Lead the data engineering ...
... and accurate data delivery.- Perform L1/L2 troubleshooting for ETL job failures, data discrepancies, and pipeline errors.- Write and optimize SQL queries for data validation, reconciliation, and issue resolution.- Support and maintain Snowflake data warehouse objects, queries, and performance issues.- Assist in developing ...
... dashboards, reports, and visualizations using Looker.- Design and manage LookML models, Explores, Views, Looks, and Dashboards.- Build optimized semantic layers and data models aligned with business requirements.- Work with Snowflake data warehouse to ensure efficient query performance.- Implement Looker best practices for governance, ...