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Data Tech Lead plays a pivotal role within our evolving Data organization, leading the solution design, development, and strategic implementation of data solutions. The candidate will be responsible for driving execution of cloud-based data architectures, ensuring the platforms scalability, security, and performance while addressing both business and technical requirements. This role demands a hands-on leader with deep technical expertise who can also steer strategic initiatives to success.
Collaborate with the Product Owner in the writing and prioritization of technical user stories and enablers in the product backlog.
Work with Scrum Master and Product Owner to resolve and escalate technical impediments.
Participate in team-level agile ceremonies, like backlog refinement, sprint planning, daily standups, iteration demos and retrospectives.
Provide technical and development guidance to team members daily (e.g. set direction on technical solutioning, support code fixes, technical release planning, etc.) 'Burn' user stories from the sprint backlog to deliver on the team's iteration goals Create and maintain technical documentation, such as design documents, technical roadmaps, etc.
Engage with subject-matter experts across the organization when they are required for user story development
Spearhead the solution design, development, and delivery of data solutions using AWS core data services, driving innovation in Data Engineering, Governance, Integration, and Virtualization.
Oversee all technical aspects of data systems, ensuring end-to-end delivery from proof-of-concept (PoC) to production deployment.
Continuously enhance the data platform delivery efficiency to improve performance, resiliency, scalability, and security while incorporating new data technologies and methodologies.
Work closely with business partners, data architects, and cross-functional teams to translate complex business requirements into technical solutions.
Develop and implement data management strategies, like, Data Warehousing, Master Data Management, and Advanced Analytics solutions.
Combine technical solutioning with hands-on work as needed, actively contributing to the architecture, coding, and deploying critical data systems.
Ensure system health by monitoring platform performance, identifying potential issues, and taking preventive or corrective measures as needed.
Be accountable for the accuracy, consistency, and overall quality of the data used in various applications and analytical processes.
Qualification
Strong problem-solving skills, with the ability to make data-driven decisions and approach challenges methodically.
Proficiency in data solution coding, ensuring access and integration for analytical and decision-making processes.
Good verbal & written communication skills and ability to work independently as well as in a team environment providing structure in ambiguous situation.
Ability to effectively communicate complex technical solutions to both technical and non-technical stakeholders.
Experience working with multi-disciplinary teams and aligning data strategies with business objectives.
Must have full scale development experienced and able to successfully implemented an enterprise wide Data Warehouse using AWS Cloud Platform, AWS DMS, Glue, Python, PySpark, Reddshift
Must have a Bachelor of Science of computer related courses, eg. Information Technology, Computer Science, Management courses with major in computer studies.
At least 12 years of strong hands-on experience in developing and delivering Data Solutions, with a strong background in AWS Cloud Platform.
Proven experience in designing and implementing AWS data services (such as S3, Redshift, Athena, Glue, Python, PySpark.) and a solid understanding of data service design patterns.
Expertise in building large-scale data platforms, including Data Lakehouse, Data Warehouse, Master Data Management, and Advanced Analytics systems.
Demonstrated experience managing multiple projects in a high-pressure environment, ensuring timely and high-quality delivery.
