VP, Data Engineering and Architecture

.VP, Data Engineering and Architecture page is loaded## VP, Data Engineering and Architecture locations:
San Antonio, Texas, USA - Remote time type:
Full time posted on:
Posted 16 Days Agojob requisition :
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** 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.
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* What We Offer:

**** 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.###

What can you expect in a “VP, Data Engineering & Architecture” role with Task Us:

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.###

Key Responsibilities
* 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 compliance.

Operationalize 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.### Qualifications
* Bachelor’s or Master’s degree in Computer Science, Information…