Data Manager

Job Description

• Develop end-to-end data solutions on various platforms, ensuring robustness and scalability. • Design efficient, scalable ETL/ELT pipelines that streamline data processing and integration. • Create and maintain data models, including Medallion architecture, star schemas, and other relevant designs. • Lead cross-functional teams to deliver on client goals, providing technical guidance and ensuring alignment with best practices. • Engage with clients and stakeholders to understand business goals, provide technical expertise, and deliver tailored solutions. • Ensure all designed solutions meet the highest standards of quality, performance, and cost-effectiveness. • Stay updated with emerging industry trends and technologies, integrating them into solutions to provide added value to clients.

Qualifications

• Advanced or expert-level experience with any of the major platforms: SQL Server, Synapse, Fabric, Snowflake, Databricks. • Proficiency in data movement technologies: Azure Data Factory, AWS Glue, dBT, Matillion (at least one or two) • Expertise in data modeling • Front-end visualization knowledge at the architecture and integration level: PowerBI, Tableau • Familiarity with Agile/Scrum methodologies

Benefits

• Sociable and able to build positive relationships across all levels of an organization. • Ability to communicate effectively with clients, leadership, and executive teams. • Experience working with distributed teams and clients.