Job Summary
Data Engineer Manager is responsible for designing, implementing, and managing data architecture and ecosystem solutions that support both on-premise and cloud data environments. This role will involve overseeing a team of data engineers, collaborating with cross-functional teams, and driving the development of innovative data solutions to help clients to achieve tangible data-driven outcomes through the use of TechX Data Platform. You will help data teams complete projects and integrate our platform solutions into client's enterprise ecosystem. To success in this role, you need to be passionate about client liaison, data engineering and cloud infrastructure technology, building key learnings and problem solving, as well as good communicators with strong people skills.
Job Responsibilities
- Manage a team of data engineers to ensure the successful delivery of data projects and initiatives. Manage project timelines, budgets, and resources for efficient execution
- Lead the design and implementation of an enterprise data architecture and ecosystem that supports on-premises and multi-cloud environments. Design and develop the E2E data pipeline: data transformation, ingestion, processing, and surfacing of data for large-scale applications.
- Develop data solutions in collaboration with business development, data science and engineering teams. Collaborate with IT and development teams to integrate data solutions with systems and applications. Work with data governance team to ensure data integrity, policies and procedures to maintain data quality, security, and compliance standards.
- Drive the adoption of best practices in data engineering, including data modeling, ETL processes, data warehousing, and data pipeline development. Support in regular performance reviews and provide mentorship and professional development opportunities for team members
- Work with sales and presale teams to understand clients needs, find solutions, and develop business proposals. Ensure appropriate solutions are proposed to customer and monitor actions and results against plans.
Background/ Experiences
- 10+ years of experience in data engineering, with a focus on designing and implementing data architecture in large-scale enterprise environments
- 5+ years of experience in managing data engineer or data management teams and owning an organization's data function, while working collaboratively with other departments and leadership teams.
- Proven expertise in working with both on-premises and cloud data technologies, having worked on solutions deployed across AWS, Azure or GCP.
- Full stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring of ML products
- Understand reports and dashboards requirements, develop data export, data API, or data visualization tools
- Deep understanding of data governance principles, data security, and regulatory compliance requirements
- Proven track records in client engagement, relationship building, and project management
- Experience in managing Proof of Concepts and creating solution demonstrations
Knowledge & Skills
- Bachelor's degree or equivalent experience in Computer Engineering, Computer Science, Information Technology, or related fields.
- Strong understanding of software development methodologies, processes, and tools
- Excellent project management skills, with the ability to prioritize and balance multiple projects simultaneously
- Exceptional interpersonal and communication skills, with the ability to effectively collaborate with diverse teams
- Experience in agile methodology with Confluence, Jira, or other similar task management and requirement capturing tools
- Excellent verbal, written, and interpersonal communication skills (both Thai and English)
- Self-starter with a growth mindset
