Data Tech Lead - MRF05697

Hunter's Hub Inc.; Taguig; On-site; PHP 1,339,200 - 1,674,000; Full time

Job summary

A leading data solutions company in Metro Manila is seeking an experienced Data Engineer to spearhead the design and delivery of data solutions using AWS. You will manage data systems from proof-of-concept to production, ensuring performance, scalability, and security. The ideal candidate should have over 12 years of experience in developing data solutions, particularly with AWS services, and possess excellent communication skills to liaise with both technical and non-technical stakeholders.

Qualifications

• 12+ years of hands-on experience in developing and delivering data solutions.
• Experience designing and implementing AWS data services.
• Strong background in large-scale data platforms.

Responsibilities

• Lead the solution design and delivery of data solutions using AWS.
• Oversee technical aspects of data systems from PoC to production.
• Enhance data platform delivery efficiency and security.

Skills

AWS data services design

Data management strategies

Strong problem-solving skills

Effective communication

Education

Bachelor’s degree

Tools

AWS (S3, Redshift, Athena, Glue)

Job description

Responsibilities

• 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, including Data Lakehouse, 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 deployment of 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.
• Advocate for the use of best practices in data engineering, governance, and AWS cloud technologies, advising on the latest tools and standards.

Qualifications

• Bachelor’s graduate
• 12+ years of hands-on experience in developing and delivering data solutions, with a strong background in cloud services (mainly AWS). (Non-negotiable)
• 12 years of experience designing and implementing AWS data services (such as S3, Redshift, Athena, Glue, etc.) and a solid understanding of data service design patterns. (Non-negotiable)
• 12 years of experience in large-scale data platforms, including Data Lakehouse, Data Warehouse, Master Data Management, and Advanced Analytics systems. (Non-negotiable)
• Ability to effectively communicate complex technical solutions to both technical and non-technical stakeholders. (Non-negotiable)
• Experience working with multi-disciplinary teams and aligning data strategies with business objectives.
• Demonstrated experience managing multiple projects in a high-pressure environment, ensuring timely and high-quality delivery. (Non-negotiable)
• Strong problem-solving skills, with the ability to make data-driven decisions and approach challenges methodically. (Non-negotiable)
• Proficiency in data solution coding, ensuring access and integration for analytical and decision-making processes. (Non-negotiable)
• Good verbal & written communication skills and ability to work independently as well as in a team environment providing structure in ambiguous situations. (Non-negotiable)

Good to have:

• Experience within the Insurance domain is an added advantage.
• Solid understanding of data governance frameworks and Master Data Management principle