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.
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... 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 ...
... 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 ...
... 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 ...
... data pipelines that support incremental loads, backfills, and reprocessing with minimal manual intervention. - Transformation with dbt: Develop and maintain data models using dbt (data build tool) for data cleaning, aggregation, and transformation and utilize the Snowflake data warehouse. - Python Scripting: Utilize Python ...
... The Technical Manager will also contribute to internal initiatives aimed at enhancing operational efficiency and innovation. Key Responsibilities: • Technical Leadership: Oversee the design, development, and implementation of data warehouse solutions using Snowflake, Amazon Redshift, and Databricks, ensuring scalability ...
... Lakehouse, data warehouse, or enterprise data-platform solutions. - Knowledge of Delta Lake, Parquet, partitioning, and medallion architecture. - Understanding of data modeling, including star and snowflake schemas. - Experience using Git and CI/CD tools such as Azure DevOps. - Working knowledge of Power BI semantic models and ...
Forward Deployed Engineer at SpyneThe role :Forward Deployed Engineers are how Spyne shows up on a customer's data estate. You'll deploy an agent squad on high-stakes workloads, like moving an Oracle or mainframe warehouse to Snowflake or Databricks, and make sure every result is verified before it https://jobeax.com/link/OUPyrxB6IXdN9Q9d ...
... technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our Data team is responsible for building a world class Data Platform with a centralized source of vendor and proprietary research data. We operate in a very dynamic environment ...