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:

Software Architect

Ho Chi Minh - Viet Nam


Outsource

  • Azure
  • .NET

Responsible for creating and overseeing integration architectures on Azure Converting business requirements into integration patterns, data flows, error handling, monitoring, and resiliency models Defining and directing the usage of Azure Integration Services, covering Logic Apps, Functions, API Management, Service Bus, and Event Hubs Leading integration platform design following Infrastructure as Code principles and cloud landing zone considerations Ensuring secure integration architectures utilizing OAuth, OIDC, and API security best practices Guiding development teams through architecture reviews, best practices, and reference implementations using C# and .NET Providing support for SAP integrations, including SAP S/4HANA, SAP PI/PO, and SAP BTP Integration Suite Contributing to integration platform modernization and legacy transformation initiatives, such as BizTalk migrations Collaborating with stakeholders, vendors, and delivery teams to ensure alignment and drive technical decisions

Negotiation

View details

Head of Engineering

Ho Chi Minh - Viet Nam


Product

  • Dynamics CRM
  • Dynamics 365 FO
  • Power Platform

Ensure high performance of core system and other Technology Services. Meet business requirements and project requests. Consult and implement new technology to enhance business productivity. Evaluate and expand mass scale deployment for business transformation. Stay updated on tech trends, experiment with new technologies, and engage in internal and external technology communities. Provide leadership, mentorship, and management to team members for their development. Encourage team members to share their opinions and ideas to enhance team performance. Analyze root causes and define areas for process improvement across all functions. Propose and drive solutions to minimize complexities and optimize business operations. Develop creative solutions to complex technical and process problems. Review existing work processes and identify opportunities for continuous efficiency improvements.

Negotiation

View details

Data Engineer (Python, AI/LLM)

Ho Chi Minh - Viet Nam


Outsource

  • Data Engineering
  • Python

Structuring and enriching a variety of data sets. Creating validation tools to improve data quality and integrity. Specializing in deep learning and machine learning applications to analyze data and uncover patterns. Collaborating with research teams to generate signals based on data insights. Automating software development, testing, and deployment processes. Providing technical support to global researchers by diagnosing and solving technical problems.

Negotiation

View details