Manager - Data Engineering

We are seeking a Manager – Data Engineering with strong expertise in Python, Matillion, and Snowflake to lead the design, development, and delivery of scalable cloud-based data solutions. The ideal candidate will have a blend of technical expertise and leadership skills, with experience managing data engineering initiatives, mentoring team members, and collaborating with cross-functional stakeholders.

Key Responsibilities

• Lead the design, development, and implementation of enterprise-scale data engineering solutions using Python, Matillion, and Snowflake.
• Manage end-to-end delivery of data integration, ETL/ELT, and data warehousing projects.
• Architect scalable, high-performance data pipelines and optimize existing data platforms.
• Mentor and guide data engineers through technical reviews, best practices, and career development.
• Collaborate with business stakeholders, product owners, and solution architects to translate business requirements into technical solutions.
• Drive data quality, governance, security, and operational excellence across data platforms.
• Optimize Snowflake performance, including warehouse sizing, query tuning, and cost optimization.
• Establish coding standards, CI/CD processes, and engineering best practices.
• Manage project timelines, risks, resource planning, and stakeholder communication.
• Support production deployments, issue resolution, and continuous platform improvements.
• 6+ years of experience in Data Engineering, with experience leading technical teams or projects.
• Strong hands-on expertise in Python, Matillion, and Snowflake.
• Advanced SQL and data modeling skills.
• Experience building enterprise ETL/ELT pipelines and cloud data warehouse solutions.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with Git, CI/CD, Agile/Scrum methodologies, and DevOps practices.
• Strong leadership, stakeholder management, communication, and problem-solving skills.
• Experience with orchestration tools such as Airflow.
• Exposure to DBT or similar data transformation frameworks.
• Knowledge of data governance, security, and performance optimization.
• Experience working with large-scale enterprise data platforms.