Enterprise Data Architect

JOB DESCRIPTION

Own the data Architecture Principles;
Co-own and lead the Data Strategy;
Co-own the enterprise data model on the Conceptional Level;
Own the enterprise data model on a Logical Level;
Consult and oversee solution architect on the Physical Level;
Being the Lead Data Governor, incl. Quality, Security, Privacy, GDPR.

JOB REQUIREMENT

Be able to communicate the value of data on all levels and be actively shaping how company is handling data today and tomorrow;
Have strong communication skills as a key task is to connect people from different business units and different roles;
Be able to work conceptually and be able to communicate the impact of this type of work;
Be able to define and foster data architecture principles;
Be able to contribute to the creation, implementation, and maintenance of an enterprise data model;
Be able to think and communicate the big picture for data, and at the same time, be able to link this to individual solutions;
Actively driving the collaboration with technical architects on enterprise and solutions level;
Actively engaging with business process architects;
Have 7.5+ years of experience in complex data management scenarios;
Have a considerable interest in the business processes and business challenges a company is facing; experience in the wholesale/retail domain is a plus but not mandatory;
Have coded data processing pipelines or data applications and should be knowledgeable in modern software delivery and lifecycle management;
Have deep knowledge in data processing technologies;
Profound knowledge (differences and tradeoffs) of different database technologies, like Relational, NoSQL, and Data Lake;
Good knowledge of public clouds (GCP, Azure or AWS);
Have a consulting mindset. Sharing information and proactively supporting projects is a must;
Should be able to guide and respect people and be an internal sales person for all topics around data;
Should have skills in data modeling and governance models and how to make them become reality in a large cooperation;
Should have strong methodology skills when engaging with business units and data teams;
Should have a background in how to bring AI/ML into business processes and what role data management plays in such advanced solutions;
Should have knowledge of GDPR and other data privacy;
Should be willing to represent company on external conferences;
Should be willing to get engaged in hiring data people and mentor people on their data- savvy career path;
Should be familiar with agile software delivery by teams across various locations.

WHAT'S ON OFFER

Flexible and remote work:  create your own schedule!  Flexibility defines the way we work and interact with each other. At our company, you have the possibility to work remotely and adapt your working hours in a very flexible way. 
People development: when you grow so do we!   We want you to become the best version of yourself with individual and company-wide programs and trainings for people development. Focused among other on development,  leadership,  appreciation ... it´s time to upskill your career.  
Support with individual solutions:  we are people-caring!  Life is full of surprises, full of challenges and we want to support you - whenever YOU need - at an individual level and during every stage of your life.
You can choose the location from our tech hubs: Bucharest, Cluj-Napoca, Brasov, Berlin, Dusseldorf, Ho Chi Minh, or you can work remotely anywhere in Romania or Germany. Let's discuss what better suits you!

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Data, Data Engineering

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J01484

Status:

Close

Related Job:

Team Lead Engineering (.NET, Azure)

Ho Chi Minh - Viet Nam


Product - Booking Platform

  • .NET
  • Azure
  • Frontend

Lead an engineering team of 4 members to develop and maintain excellent software products. Proactively discuss and consult the Product Owners and other stakeholders at Head Quarter to ensure that the technical point of view is brought into consideration while planning and growing the products. Collaborate with other people responsible for the relevant products to ensure that the technical solution is optimum and best fit to the latest cloud architecture. Manage and support team members to become a highly performing engineering team. Coach engineers to adopt best practices in software development lifecycle, such as Infrastructure as Code, Automated testing, Continuous Integration - Continuous Delivery/Deployment, etc. Coach engineers to leverage generative Al tools such as GitHub Copilot, Amazon Code Whisperer, etc., to accelerate software delivery Collaborate across teams with regards to overarching technical concepts and practices Participate in the full development cycle: design, development, QA, experimentation, analysis, and launch. You'll be reviewing code, writing design documents, giving feedback on product specs and mocks, and generally helping out wherever is needed.

Negotiation

View details

Senior Data Scientist

Ho Chi Minh - Viet Nam


Information Technology & Services

  • Data Science

We're seeking a seasoned Senior Data Scientist who can tackle complex business challenges and transform them into innovative technical solutions. In this role, you'll dive deep into statistical analysis, data mining, and cutting-edge Large Language Model (LLM) technologies to shape the future of AI-driven products. You'll engage hands-on with emerging technologies, pushing the boundaries of what's possible in AI from early ideation and research through to final delivery. Join us to take the helm in developing data-driven product features, mentor up-and-coming talent, and help define the next frontier of AI-powered innovation! You will closely collaborate with not only the data team but also product managers and engineers to ensure successful analytics or AI feature execution. Human-Centered Analysis: Manipulate human behavior, sentiment, and language data to uncover hidden patterns and support data-driven decision-making. AI/ML Model Development: Craft effective prompts to interact with AI models, optimizing output quality and relevance, performing fine-tuning, data feeding, validation, and engineering for continuous improvement. Deliver Pragmatic Solutions: Consistently make pragmatic technical decisions that prioritize business value and speed of delivery, aligning with our early-stage startup environment. Cross-functional Collaboration: Work with other product and engineering teams to understand data needs and ensure smooth data solution delivery

Negotiation

View details

Head of Engineering

Ho Chi Minh - Viet Nam


Information Technology & Services

  • Backend
  • Frontend
  • Management

Lead, scale, and mentor software engineering teams in Vietnam across diverse technology stacks Promote a strong engineering culture focused on innovation, delivery excellence, and agile best practices Establish and grow local technology centers of excellence in transformation areas like cloud, blockchain, and AI Drive continuous improvement in engineering productivity, tooling, and quality assurance Provide oversight and capacity planning in collaboration with Professional Services Units (PSUs) and Country Units (CUs) Support presales initiatives by advising on technical solutions, delivery models, and team composition Represent engineering and IDU resource needs in local talent planning, mentoring, and skills development Partner with local teams to ensure a high-performing and compliant working environment Collaborate with Risk & Quality teams to manage and escalate supply, demand and operational risks or non-compliance concerning delivery Ensure staffing needs meet all defined quality standards and compliance frameworks across global client engagements Work closely with stakeholders to align engineering practices, delivery models, and resource mobilization Assist business development teams in shaping technology proposals, solution architecture, and rate card structures

Negotiation

View details