Senior Manager, Data Engineering

Senior Manager, Data Engineering

We are looking for an experienced Data Engineering leader to shape our enterprise data strategy, accelerate cloud transformation, and unlock advanced analytics capabilities. This role demands a blend of technical expertise, strategic vision, and leadership to drive innovation and foster cross-functional collaboration across business and technology teams

Job responsibilities:

• Lead the design and implementation of scalable, automated data pipelines and platforms to support evolving business needs and accelerate insight delivery.

• Drive cloud migration initiatives, ensuring successful transition of legacy systems to modern cloud environments.

• Optimize data infrastructure for cost efficiency, reliability, and performance, including software license and server cost savings.

• Establish and enforce best practices in data engineering, including coding standards, testing, and documentation.

• Drive strategic data acquisition initiatives in emerging business areas, ensuring the timely availability of high-quality data to enable actionable insights that maximize customer experience and revenue growth.

• Collaborate with analytics, marketing, sales, IT, and product teams to translate business requirements into technical solutions.

• Promote data quality, governance, and security measures across all data processes.

• Monitor and optimize system performance and scalability, proactively addressing bottlenecks and implementing predictive maintenance strategies.

• Explore and implement innovative tools, including AI-driven solutions, to enhance operational efficiency and accelerate migration projects.

• Stay abreast of emerging technologies and assess their applicability to improve data engineering capabilities.

• Mentor and develop team members, fostering engagement, technical growth, and leadership capabilities.

The Person:

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Information Technology or relevant disciplines.

• Minimum 8 years of experience in data engineering or analytics, with at least 3 years at supervisory and/or managerial role.

• Proven expertise in designing and managing data pipelines, ETL processes, and data platforms (data lakes/warehouses).

• Hands-on experience with cloud technologies and migration projects (AWS, Azure, or GCP).

• Strong programming skills in Python, Java, or Scala, with advanced SQL proficiency and familiarity with distributed computing frameworks (e.g., Spark).

• Experience implementing data security, governance, and compliance measures aligned with industry standards and regulatory requirements

• Ability to lead cross-functional projects and communicate effectively with technical and business stakeholders.

• Track record of driving innovation through new tools or technologies, including AI-based solutions.

• Strong leadership, problem-solving, and team development skills.