Data Management Lead

Job Overview:

Responsibilities:

• Lead and manage a data management team of ~10 members, fostering growth and collaboration.
• Oversee the design, implementation, and maintenance of data infrastructure and pipelines.
• Ensure adherence to data management principles, including data quality, governance, and security.
• Utilize cloud platforms like AWS, and tools such as Databricks & Informatica for data processing and storage solutions.
• Apply software engineering best practices, including DevOps, Infrastructure as Code (IaC), and testing automation, to streamline workflows.
• Design scalable and robust system architectures aligned with business needs.
• Collaborate with cross-functional stakeholders to ensure the seamless integration of data systems.
• Monitor and optimize system performance, reliability, and cost-effectiveness.
  

Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related fields.
• 8+ years of experience in data management, with a strong understanding of cloud-based technologies like AWS, Databricks, and Informatica.
• Expertise in software engineering best practices such as IaC, DevOps pipelines, and comprehensive testing methods.
• Experience in system design & architecture, including distributed systems and integration patterns.
• Proven ability to lead and manage a team (~10 people), fostering an inclusive and high-performance culture.
• Strong problem-solving, communication, and stakeholder management skills.
• Strong expertise in data integration, data modeling, and modern database technologies (Graph, SQL, No-SQL) and AWS cloud technologies
• Extensive experience in DBA, schema design & dimensional modeling, and SQL optimization.
• Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams.
  

Preferred Skills:

• Certifications in AWS, DevOps, Data Engineering, or related technologies.
• Familiarity with Agile methodologies and tools.
• Knowledge of modern data governance frameworks and strategies.
  

Locations:

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