Senior Data Modeler

Senior Data Modeler

• Key Responsibilities:

  Design, develop, and maintain

  relational, dimensional, and analytical data models

  for large-scale

  OLTP and analytical systems

  .
• Perform hands-on

  data modeling, ER diagramming, and enterprise software design

  for diverse data ecosystems.
• Define and enforce

  data modeling standards and best practices

  for scalable and high-performance solutions.
• Work with

  SQL databases

  such as

  Oracle, PostgreSQL, Snowflake, and Teradata

  , optimizing performance and query tuning.
• Collaborate with

  cross-functional teams (engineers, architects, product managers)

  to translate business requirements into

  effective data models

  .
• Implement

  metadata management, data lineage, and data cataloging

  using tools like

  Alation and Collibra

  .
• Ensure data

  accuracy, completeness, and consistency

  across data models and maintain comprehensive documentation.
• Support

  history handling, time-series data warehousing, and complex data transformations

  .
• Assist teams in

  adopting data modeling best practices

  for global, large-scale data-driven implementations.
• Contribute to

  data governance

  initiatives and establish a

  centralized metadata repository

  .
• Work in a

  fast-paced, agile environment

  with short release cycles and iterative development methodologies.

• Required Skills:7+ years of experience

  in relational, dimensional, and analytical data modeling.
• Strong

  SQL

  skills with hands-on experience in

  Oracle, PostgreSQL, Snowflake, and Teradata

  .
• Experience with

  data modeling tools

  (Erwin, ER Studio, or similar).
• Expertise in

  data governance processes

  and

  metadata repositories

  .
• Knowledge of

  semantic data modeling concepts

  and

  multi-fact model

  designs.
• Strong verbal and written communication skills to interact with

  engineers, architects, and product managers

  .
• Ability to work on

  multiple projects/products simultaneously

  with minimal specifications.
• Experience in

  Alation and Collibra

  for

  data cataloging and data lineage tracking

  .

• Good to Have:

  Knowledge of

  Python

  for data processing.
• Experience with

  Informatica

  for ETL and data integration.