Job Description

We are seeking a

Business Data Modeler

to join our client in the consulting industry. In this role, you will serve as a key liaison between business stakeholders and technical teams, translating business data requirements into robust data models and solutions on the Azure Databricks platform. You will design, implement, and optimize data models that enable analytics, reporting, and data-driven decision-making.

Responsibilities

Requirements Analysis:

Collaborate with stakeholders to gather and document data requirements, business rules, and analytics objectives.

Data Modeling:

Design, develop, and maintain logical and physical data models within the Azure Databricks environment, ensuring scalability and performance.

Solution Design:

Translate business requirements into technical specifications and data solutions using Databricks features (e.g., Delta Lake, notebooks, MLflow).

Data Quality & Governance:

Establish and enforce data quality, consistency, and governance standards, including data lineage and security.

Data Architecture:

Define and implement best practices for data integration, storage, and governance strategies.

Collaboration:

Partner with data engineers, data scientists, BI developers, and other stakeholders to ensure seamless implementation of data models.

Documentation:

Create and maintain comprehensive documentation for data models, data flows, and business rules.

Performance Optimization:

Analyze and optimize data models and queries for performance and cost efficiency within Azure Databricks.

Continuous Improvement:

Stay current with industry trends, best practices, and emerging technologies in data modeling and cloud analytics
Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field. 5+ years of experience in data modeling, business analysis, or related roles, preferably in a cloud environment. Hands-on experience with

Azure Databricks

,

Delta Lake

, and other

Azure data services

(Data Lake, Synapse, etc.). Proficiency in

SQL

and data modeling tools. Strong understanding of

data warehousing

,

ETL/ELT processes

, and

data architecture principles

. Experience with

data governance

,

data quality

, and

data security

best practices. Excellent communication, documentation, and stakeholder management skills. Ability to thrive in a fast-paced, collaborative environment.

Preferred Skills

Experience with

SAP HANA

, including data integration and management. Experience with

Python, Spark, or Scala

in Databricks. Familiarity with data visualization tools (e.g.,

Power BI, Tableau

). Knowledge of

machine learning workflows

and

MLflow

. Experience in

Agile or Scrum

environments.

Location:

Fully Remote

Duration:

6 Months (Strong Possibility of Extension)