Data Architect - Mid-Senior

November 11, 2024

Apply Now

Receive Emails with Similar Jobs

Umpisa Inc

WebsiteLinkedInAll Job Openings

Umpisa Inc. is a company that specializes in building companies and applications by leveraging expertise in business, technology, and data. Their mission is to position the Philippines as a global tech hub. They offer tailor-made software solutions with a focus on modern software development, UI/UX design, quality assurance, and business analysis. Umpisa Inc. is skilled in technologies like React, React-Native, Flutter, and Node. js, adhering to DevSecOps practices. They also engage in venture building, providing expertise in business and digital strategy, product management, and offering CTO-as-a-Service. Operating across industries such as fintech, real estate, and education, they aim to create authentic connections through their diverse tech professionals and strong engineering culture.

11 - 50 employees

📋 Description

• At Umpisa Inc., our mission is to make the Philippines be known globally as a tech hub. • Umpisa Inc. is a progressive technology services company that partners with select industries, clients and people to work on pioneering and industry-changing solutions via digital transformation, modern software development and venture building. • We create a set of world-class and impactful products and solutions to help organizations and individuals live better lives. • We offer demanding, challenging and rewarding careers in software development, product development, emerging technologies, and more for the right candidates. • Aligns with our values: Excellence, Integrity, Professionalism, People Success, Customer Success, Fun, Innovation and Diversity • Strong communication skills • Strong problem solving and analytical skills • Excellent problem-solving ability • Would like to work as part of a self-organizing Scrum team in a scaled agile framework • Must be a self-starter and loves to collaborate with the team and client.

🎯 Requirements

• Data Architecture Design: Design and build scalable, flexible, and efficient data architectures that support business operations and future growth. Define database structures, data warehouses, and data lakes based on business requirements. • Data Modeling: Create conceptual, logical, and physical data models that provide a clear and consistent structure for storing, retrieving, and using data across systems. Ensure data models align with the organization’s business and technical needs. • Data Integration: Oversee data integration strategies, ensuring seamless data flow between internal systems, third-party applications, and cloud platforms. Implement ETL/ELT processes to ensure the data is properly transformed and integrated. • Data Governance & Quality: Establish and enforce data governance policies and practices to ensure data quality, consistency, security, and compliance across the organization. Collaborate with the data governance team to implement data standards, best practices, and data stewardship. • Cloud & On-Premise Architecture: Design and implement data solutions that integrate cloud (e.g., AWS, Azure, Google Cloud) and on-premise data systems. Leverage cloud data platforms like Snowflake, Redshift, or BigQuery to build scalable and efficient data environments. • Security & Compliance: Ensure that data architectures are secure and compliant with industry regulations, such as GDPR, CCPA, and other data privacy laws. Work closely with IT and security teams to implement encryption, access controls, and other data protection measures. • Collaboration with Stakeholders: Partner with business leaders, data engineers, data scientists, and other technical teams to understand data requirements, set data priorities, and provide data solutions that meet the company’s strategic goals. • Cloud & On-Premise Architecture: Design and implement data solutions that integrate cloud (e.g., AWS, Azure, Google Cloud) and on-premise data systems. Leverage cloud data platforms like Snowflake, Redshift, or BigQuery to build scalable and efficient data environments. • Security & Compliance: Ensure that data architectures are secure and compliant with industry regulations, such as GDPR, CCPA, and other data privacy laws. Work closely with IT and security teams to implement encryption, access controls, and other data protection measures. • Collaboration with Stakeholders: Partner with business leaders, data engineers, data scientists, and other technical teams to understand data requirements, set data priorities, and provide data solutions that meet the company’s strategic goals. • Trustworthy, self-motivated, responsive and sharp • Strong listening, verbal, written and presentation communication skills are essential • Excellent attention to detail • Strong communication skills, organization skills, time management skills