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:

Job ID:

J01484

Status:

Close

Related Job:

Data and Insights Manager

Ho Chi Minh - Viet Nam


Product

  • Data Analyst
  • Business Intelligence
  • Data Science
  • Machine Learning

Oversee the data and information system to ensure adequacy, accuracy, and legitimacy of data products such as reports, insights, analytics tools, and models. Implement and oversee data governance and policies. Communicate data visions and strategies across functions and business units. Anticipate upcoming trends and business demands to propose impactful data deliverables. Oversee the pipeline to deliver high-quality, timely, and useful data to enable data usability, availability, and efficiency on the Information System (BI, Reportings, Dashboard). Ensure excellence in performing data ad-hoc requests. Identify analytics opportunities to support the growth of the organization. Develop analytics capacities through data and data science techniques, mastering knowledge about customers, products, and the business. Drive data-empowered innovations through ML/AI to improve the efficiency and quality of business and products. Raise awareness of the potential application of ML/AI. Provide data, ML/AI learnings, and strategic input to business visions and projects. Design the framework of AI/ML building, testing, and deployment at a large scale. Ensure the quality and efficiency of ML/AI deliverables.

Negotiation

View details

Engineering Manager (ERP)

Ho Chi Minh - Viet Nam


Outsource

  • .NET
  • NodeJS
  • ReactJS
  • Typescript
  • Devops
  • Azure

Discussing the requirements with the team and breaking them down into epics and Jira tasks. Facilitating estimations with the team and capturing them on corresponding Jira items. Tracking progress, ensuring the team stays on plan, and keeping it up to date in Jira. Providing technical leadership and mentoring the engineering team. Conducting regular 1:1s, performance conversations, goal setting, and supporting personal development plans. Owning team delivery, including sprint planning, backlog refinement, and the removal of blockers. Acting as the primary point of contact for Product Management, Release Management, and stakeholders on technical matters. Assisting in interviewing candidates and helping build out the engineering team. Fostering a culture of quality, security, and continuous improvement within the team. Active development and code ownership across the stack - C#/.NET services and React/TypeScript frontends Owning the technical direction of Managed ERP Hosting and the Documents Archive Solution Defining and evolving the technical architecture, driving the roadmap for cloud transformation, and test automation Evaluating and adopting AI-assisted development tools to accelerate team productivity. Championing secure-by-design practices and maintaining high-quality code across the entire stack. Providing hands-on incident response and on-call escalation support together with the team.

Negotiation

View details

Engineering Manager – Shop 6.0

Ho Chi Minh - Viet Nam


Outsource

  • Management
  • Backend
  • Frontend
  • Devops
  • Azure

Lead and manage the technical and organizational aspects of delivering Shop 6.0 across frontend, backend, and infrastructure Coordinate parallel workstreams including frontend, backend, DevOps, and QA to plan and execute delivery scope, milestones, and releases Collaborate with senior engineers to make key architectural decisions, particularly regarding microservices, APIs, and cloud-native implementation on Azure Identify and address risks related to integration, scalability, and technical dependencies, especially around ERP Cloud connection Act as the primary point of contact for stakeholders on scope, prioritization, and timelines Ensure code quality through reviews, mentoring, and clear standards, including a pull request process with mandatory checks and senior/lead review Provide transparency on progress, risks, and decisions to the team and management Recruit, lead, develop, and retain a team of 6 engineers, consisting of 4 backend and 2 frontend roles

Negotiation

View details