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:

Related Job:

Senior Data Engineer

Ho Chi Minh - Viet Nam

Product

Designing and implementing scalable data architectures aligned with business objectives Building and maintaining data pipelines for ingestion, transformation, and delivery using modern orchestration tools Architecting data solutions across data warehousing, data lakes, and real-time analytics Creating and maintaining data models and documenting the enterprise data landscape Building and maintaining data infrastructure supporting ML model training, deployment, and monitoring Designing and implementing vector database solutions for AI-powered features Developing data pipelines for AI-driven capabilities and ensuring global scalability Implementing DataOps practices to ensure data quality, lineage, and governance Defining and enforcing data strategy and architectural principles Building monitoring and alerting for pipeline health, data quality, and SLA compliance Optimizing query performance and cost efficiency Collaborating with product and engineering teams to translate business requirements into data solutions Driving adoption of modern data practices across the organization Contributing to architectural reviews and technical decision-making Taking ownership of data problems through to resolution

Negotiation

View details

Engineering Manager

Ho Chi Minh - Viet Nam

Offshore

Take charge in guiding and mentoring Agile teams to uphold engineering standards, sprint backlogs and plans, engineers' responsibilities and performance management, code quality, adherence to development guardrails, and testing. Collaborate with various cross-functional teams, architects, and product managers to ensure the execution and delivery of engineering goals. Drive the technology roadmap and contribute to the overall architecture and key components design for the current and future framework. Serve as a mediator between speed and quality while coaching engineers to be T-shaped, versatile, and take responsibility outside their core discipline. Take ownership of addressing technical debt and staying updated with modern development technologies and methodologies. Be accountable for the entire life-cycle development process and the deliveries of a team. Encourage self-sufficiency and discipline within the product engineering team. Spearhead initiatives for implementing efficient development and delivery processes. Inspire the product team to strive for continuous delivery and innovation. Oversee the career path development for engineering team members, in collaboration with the HR department.

Negotiation

View details

Data Analyst

Ho Chi Minh - Viet Nam

Offshore

Data Analyst

Gather, sanitize, and evaluate data from diverse origins to meet business requirements. Construct and maintain fundamental analytical datasets and reports for different teams. Validate and verify data to uphold accuracy, consistency, and dependability. Apply statistical and analytical methods to identify patterns and potential opportunities. Work closely with business stakeholders to grasp needs and provide actionable insights. Carry out thorough analyses of customer behavior, product usage, and market trends. Translate intricate data findings into clear, influential recommendations for business strategies. Support data-informed decision-making across various teams including marketing, operations, finance, and product teams. Create dashboards and Key Performance Indicator (KPI) tracking tools for monitoring business performance. Devise and conduct experiments (e.g., A/B tests) to evaluate initiatives. Deliver insights in a clear and convincing manner to both technical and non-technical audiences. Encourage data literacy by aiding colleagues in understanding and utilizing analytical tools. Share best practices in data analysis, visualization, and reporting. Contribute to documentation and training to elevate organizational analytics proficiency. Allocate time to cross-team projects aimed at enhancing company-wide data capabilities.

Negotiation

View details