VP, Data Engineering and Architecture

About Task Us

Task Us is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure Task Us serves clients in the fastest-growing sectors including social media, e-commerce, gaming, streaming media, food delivery, ride‑sharing, HiTech, Fin Tech and Health Tech.

The People First culture at Task Us has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently we have a presence in twenty‑three locations across twelve countries which include the Philippines, India and the United States.

It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at Task Us understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment’s notice and mastering consistency in an ever‑changing world.

At Task Us we prioritize our employees’ well‑being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established including Total Rewards, Wellness, HR and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover we actively encourage internal mobility and professional growth at all stages of an employee’s career within Task Us.

Join our team today and experience firsthand our dedication to supporting People First.

We are seeking a hands‑on Vice President of Data Engineering and Architecture to lead the strategy, design and implementation of our enterprise data ecosystem. This person will define how data is structured, stored and leveraged to drive analytics, automation and AI initiatives across the organization. The ideal candidate will have deep expertise in architecting large‑scale data warehouses and data lakes with a strong command of OLAP and OLTP concepts.

• Data Architecture Leadership : Design and implement scalable, high‑performance data architectures including data warehouses (AWS Redshift, SQL Server) and structures and unstructured data lakes that support enterprise analytics and operational excellence.
• End-to-End Data Engineering : Lead the design, development and maintenance of reliable data pipelines and integration processes ensuring data is accurate, consistent and easily accessible across business functions.
• Performance Optimization : Apply expertise in OLAP and OLTP system design to optimize database and query performance for analytical and transactional workloads.
• Strategic Collaboration : Partner with automation, AI and software development teams to align data systems with business needs and integrate them into intelligent workflows.
• Data Modeling & AI Enablement : Develop AI‑compatible data models that are efficient, scalable and optimized for natural language querying, AI integration and AI‑driven analytics.
• Analytics Enablement : Empower business teams by ensuring clean, well‑structured data for Power BI and other analytics tools driving timely and data‑informed decision-making.
• Data Governance & Quality : Establish robust data governance standards, metadata management and quality frameworks to ensure data integrity and a master data management framework including regular measurement and maintenance of data libraries and compliance to standards.
• Leadership & Team Development : Build and mentor a high‑performing team of data engineers and architects fostering a culture of innovation, collaboration and technical excellence.

• Bachelors or Masters degree in Computer Science, Information Systems, Data Engineering or a related field.
• 10 years of experience in data engineering, architecture or related fields.
• Proven experience designing and implementing large‑scale data warehouses and data lakes using AWS Redshift and/or SQL Server.
• Strong understanding of OLAP and OLTP systems, data…