• Design and oversee the migration/optimization of our data lakehouse architecture using Databricks. • Serve as the escalation point for the platform, leveraging a proven record of handling production issues to ensure 24/7 reliability of mission-critical pipelines. • Work directly with the SVP of Tech to translate product roadmaps into technical requirements. • Drive the adoption of Databricks Asset Bundles (DABs) to standardize deployments across dev, staging, and production. • Provide high-level guidance to engineering squads in India and the US, defining schemas and governance models for BigQuery and Databricks.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Our client is seeking a Data Migration Analyst to support a large-scale SAP migration initiative. This role will focus on migrating data between enterprise systems, ensuring data accuracy, structural integrity, and a successful transition to the new SAP environment. - Support data migration activities for a large SAP implementation or migration project - Analyze, map, and migrate data between legacy systems and SAP environments - Interpret complex data structures, file formats, and data models - Perform data extraction, transformation, and validation to maintain data integrity - Collaborate with business stakeholders, functional teams, and technical teams to ensure accurate data mapping - Identify and resolve data quality issues during migration cycles - Conduct reconciliation, testing, and validation throughout migration phases - Support multiple migration cycles including mock migrations, UAT, and production cutover Qualifications - Experience supporting enterprise data migration initiatives (SAP migration preferred) - Strong understanding of data structures, file formats, and data mapping processes - Experience working with large datasets in complex enterprise environments - Ability to analyze technical file structures and data schemas - Experience with data validation, reconciliation, and migration testing - Strong collaboration skills working with both technical teams and business stakeholders - Exposure to SAP S/4HANA or SAP transformation programs preferred - Familiarity with SQL, ETL tools, or data migration tools preferred Requirements - Experience supporting enterprise data migration initiatives (SAP migration preferred) - Strong understanding of data structures, file formats, and data mapping processes - Experience working with large datasets in complex enterprise environments - Ability to analyze technical file structures and data schemas - Experience with data validation, reconciliation, and migration testing - Strong collaboration skills working with both technical teams and business stakeholders - Exposure to SAP S/4HANA or SAP transformation programs preferred - Familiarity with SQL, ETL tools, or data migration tools preferred

• Function as a consultant between technology unit and other business units • Ask questions and present ideas that enable business units to solve data problems with code • Begin with a set of technical specifications to begin coding solutions to issues across the business • Collaborate with the business to ensure solutions work as expected • Work side-by-side with the business to implement insights • Participate in daily standup meetings and complete projects during sprints

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Manager, Data Engineering - REMOTE. In this pivotal role, you will be responsible for overseeing a talented team of data engineers, guiding them through the intricacies of developing and managing data systems. - Lead a group of engineers focused on rapidly developing, scaling, and supporting data products for consumption by clients and business stakeholders - Be actively engaged in problem-solving and solution design - Own data engineering delivery outcomes (timelines, tradeoffs) - Simplify existing pipelines and architectures where complexity or fragmentation has crept in - Define and incorporate best practices to uphold quality, reliability, and operational sanity - Partner with business and engineering stakeholders to understand needs, align priorities, and translate them into shipped solutions - Foster a proactive, can-do, and execution-oriented culture Qualifications - 5+ years of experience building and running data systems in production - 1+ years of experience managing technical projects as an engineering lead and/or people manager - Comfort working across SQL and Python in modern distributed data platforms - Aptitude for designing and understanding data systems with varied layers of interdependency - Working knowledge of data security and governance standards - Exposure to data visualization tools such as Databricks AI/BI, PowerBI, Tableau, etc. Benefits - Competitive salary range: $124,100 - $179,700 - Bonus/Variable Pay: 15% - Flexible working hours - Opportunities for growth and professional development - Collaborative and inclusive team culture - Health and wellness benefits - Remote work opportunity