Senior Manager – Data Engineering

Tredence Inc. is seeking a Senior Manager – Data Engineering to architect and lead the development of scalable data platforms. The role involves mentoring a team, collaborating with cross-functional teams, and driving data governance and modernization initiatives.

Responsibilities:

• Architect and lead the development of scalable, high-performance data platforms and pipelines that support enterprise analytics, reporting, and machine learning initiatives
• Design end-to end data architecture including data lakes, data vaults, semantic layers, and real-time/ batch ETL pipelines to ensure robust, secure, and reliable data infrastructure
• Mentor and manage a high-performing team of data engineers, architects, and designers by providing technical leadership, guidance on best practices, and growth opportunities through code reviews, architectural planning, and hands-on support
• Collaborate with cross-functional teams including business stakeholders, product managers, and data scientists to translate business requirements into scalable technical solutions
• Define and enforce data governance, data quality, and data security standards, ensuring compliance with internal policies and external regulations
• Drive the adoption of modern data engineering
• Lead the evaluation and implementation of cloud-native technologies to modernize legacy systems and support digital transformation initiatives
• Enable self-service analytics and business intelligence by architecting curated and governed data products and semantic models
• Conduct capacity planning, performance tuning, and cost optimization of cloud-based data infrastructure and analytics workloads
• Contribute to the enterprise data strategy, roadmaps, and platform modernization by staying current with industry trends and emerging technologies

Requirements:

• Bachelor's degree (or foreign equivalent) in Data Science, Engineering (any), or related field
• Five (5) years of experience in the job offered or a related position
• Demonstrable knowledge of: Azure Databricks; Azure Synapse Analytics; Azure SQL DB; Snowflake; SAP DataSphere; Python; Teradata; Power BI; SAP BOBJ; and Predictive Modelling
• Ability to travel to unanticipated client locations throughout the U.S. approximately 30%, as required
• Ability to telecommute from any location within the U.S