Data Architect

1 day ago Be among the first 25 applicants

MAKE HISTORY WITH US! At PMI, we’ve chosen to do something incredible. We’re totally transforming our business and building our future on smoke‑free products with the power to improve the lives of a billion smokers worldwide.

With huge change, comes huge opportunity. So, wherever you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions.

Role Overview The GBS Data and Analytics team is composed of individual doers and collaborators working passionately to apply cutting‑edge advances in technology to solve real‑world problems. As a data modeler in this group, you will work directly with architects and engineers in creating, optimizing and documenting data models to translate complex business data into usable computer systems. You are expected to support the enhancement of data governance, quality, and accessibility, ultimately empowering our organization to make data‑driven decisions and achieve strategic objectives.

JOIN US!

WHO ARE WE LOOKING FOR?

Graduated in (Business) Informatics, IT, computer science or a related field.

3+ years of experience in analytics and data roles.

Experience in Data architecture, relational modeling and multidimensional modeling – modeling notations, Cobb model rules, conceptual to logical to physical data models.

Proficient in SQL and in using a cloud‑based data warehousing platform such as Snowflake.

Experience with at least one data modeling software such as SqlDBM, Erwin, ER/Studio, Power Designer, Enterprise Architect, Infosphere Data Architect, Modelsphere, or Toad Data modeler.

Familiarity with master data and reference data concepts. Experience in MDM platforms such as SAP‑MDG is a plus.

Business domain knowledge – Commercial, Consumer or Operations is a plus.

Preferred Qualification

Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.

Good communication skills with users and other technical teams to collect requirements, describe data modeling decisions and data engineering strategy.

Ability to work directly with remote technical teams.

What We Offer You

Annual Bonus: Based on Company and Individual Performance

BPJS Kesehatan

Social Security

Pension plan

Lunch: Provided by company

Medical Inpatient

Medical Outpatient

Frame & Lenses

Life Insurance: As per Company Practices

Uniform: Provided as per Company Practice

HOW CAN YOU MAKE HISTORY WITH US?

You will contribute to the design and implementation of data models to support data products delivery, supporting our enterprise data strategy.

By documenting full data lineage and data mapping rules, you will make an impact on our company transformation.

With a mindset focused on reusability, scalability and end‑to‑end ownership, you will shape foundation for our analytics data platform.

By showing proactivity and actively anticipating and resolving potential data issues before they erupt, you will be able to drive operational excellence, build trust and ensure the integrity and reliability of our enterprise data ecosystem.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Manufacturing

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