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Senior Data Modeler

Pay
Pay not listed
Work setting
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Employment
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What you’ll work on

Full posting
  • Develop and maintain conceptual, logical, and physical data models

  • Establish and evolve information architecture best practices and guidelines

  • Conduct data design reviews throughout the development lifecycle

  • Capture and maintain metadata in the enterprise data catalog

  • Mentor team members and the data community on data standards

From the employer’s posting
Develop and maintain conceptual, logical, and physical data models using established data modeling guidelines
Establish, maintain, and evolve information architecture best practices, guidelines, and principles in alignment with the Client's Data Strategy team
conducting data design reviews throughout the development lifecycle
Capture and maintain metadata within the enterprise data catalog solution
Educate and mentor team members and the broader data community on data strategy directives, principles, and standards

What you’ll bring

All qualifications

Core experience

  • 5+ years of experience, including business analysis and change management
  • Strong expertise in data modeling, including creating Erwin diagrams
  • Practical experience with data analytics, SQL, and DWBI tools
  • University degree equivalent to BS/MS in Computer or Life Sciences
  • Excellent verbal and written English communication
Qualification wording
5+ years of experience, including a focus on Business Analysis involving business process reengineering, user requirements gathering, workshop facilitation, and change management
Strong expertise in Data Modeling, including the ability to create Erwin diagrams
Practical experience with Data Analytics, SQL, and DWBI tools
University degree equivalent to BS/MS in Computer or Life Sciences
Proficiency in communication, with excellent verbal and written English skills

Tools in this posting

  • SQL
Source — Tool mentions in context
We are searching for an experienced Senior Data Modeler to join our team and contribute to designing, maintaining, and evolving our organization’s data architecture. This role will ensure best practices, standards, and strategies are implemented across our data models while collaborating with cross-functional teams to meet organizational goals. Responsibilities Establish, maintain, and evolve information architecture best practices, guidelines, and principles in alignment with the Client's Data Strategy team Drive data modeling initiatives and support the architecture, design, and development of data systems Develop and maintain conceptual, logical, and physical data models using established data modeling guidelines Ensure data models align with relevant industry standards and adhere to best practices Capture and maintain metadata within the enterprise data catalog solution Evaluate data models in commercially available applications prior to procurement Educate and mentor team members and the broader data community on data strategy directives, principles, and standards Ensure adherence to Security and Compliance policies within the scope of Enterprise Information Architecture Collaborate with business partners, IT teams, architecture teams, and contractors to design data models that meet requirements Define and promote compliance with best practices, conducting data design reviews throughout the development lifecycle Requirements University degree equivalent to BS/MS in Computer or Life Sciences 5+ years of experience, including a focus on Business Analysis involving business process reengineering, user requirements gathering, workshop facilitation, and change management Practical experience with Data Analytics, SQL, and DWBI tools Strong expertise in Data Modeling, including the ability to create Erwin diagrams Proficiency in communication, with excellent verbal and written English skills Nice to have 2+ years of experience in the Pharmaceutical Industry, preferably in the commercial IT function Background in Agile methodologies and team coordination efforts Familiarity with Collibra

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 1, 20262 days ago
Recorded sightings
4
Last seen by us
Nov 4, 2026
Employer says posted
Sep 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 2

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From 1,409 similar postings that came down. Coming down is not always a hire.

EPAM Systems is hiring

656 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

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About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

We are searching for an experienced Senior Data Modeler to join our team and contribute to designing, maintaining, and evolving our organization’s data architecture. This role will ensure best practices, standards, and strategies are implemented across our data models while collaborating with cross-functional teams to meet organizational goals. Responsibilities Establish, maintain, and evolve information architecture best practices, guidelines, and principles in alignment with the Client's Data Strategy team Drive data modeling initiatives and support the architecture, design, and development of data systems Develop and maintain conceptual, logical, and physical data models using established data modeling guidelines Ensure data models align with relevant industry standards and adhere to best practices Capture and maintain metadata within the enterprise data catalog solution Evaluate data models in commercially available applications prior to procurement Educate and mentor team members and the broader data community on data strategy directives, principles, and standards Ensure adherence to Security and Compliance policies within the scope of Enterprise Information Architecture Collaborate with business partners, IT teams, architecture teams, and contractors to design data models that meet requirements Define and promote compliance with best practices, conducting data design reviews throughout the development lifecycle Requirements University degree equivalent to BS/MS in Computer or Life Sciences 5+ years of experience, including a focus on Business Analysis involving business process reengineering, user requirements gathering, workshop facilitation, and change management Practical experience with Data Analytics, SQL, and DWBI tools Strong expertise in Data Modeling, including the ability to create Erwin diagrams Proficiency in communication, with excellent verbal and written English skills Nice to have 2+ years of experience in the Pharmaceutical Industry, preferably in the commercial IT function Background in Agile methodologies and team coordination efforts Familiarity with Collibra
Source details

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Location & working pattern

India

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