BBI is a global data engineering consulting firm that empowers clients to effectively scale and modernize. We combine engineering fundamentals and innovative tools to execute business-critical, end-to-end projects on-time and on-budget. We offer expert services across Data Integration, Data Modernization, Data Migration, Data Architecture, Platform Support, and Application Services. Our goal is to provide business value in the most effective way for our clients so clients can focus on growth.
Position Overview
Location - Bangalore/Pune/Chennai/Remote
We are seeking a skilled and detail-oriented Mid-Level Data Modeler to join our data engineering and architecture team. In this role, you will bridge the gap between business requirements and technical execution by designing, developing, and maintaining conceptual, logical, and physical data models. The ideal candidate has hands-on experience utilizing SQLDBM for cloud data warehouse modeling (e.g., Snowflake) and possesses a deep understanding of modern data architecture, normalization, and dimensional modeling techniques. You will collaborate closely with data architects, analytics engineers, and business stakeholders to ensure our data infrastructure is scalable, performant, and aligned with organizational goals.
Job Duties & Responsibilities
- Data Modeling & Design: Design and maintain end-to-end conceptual, logical, and physical data models to support enterprise analytics and reporting initiatives.
- Platform Management: Utilize SQLDBM as the primary tool for cloud data warehouse design, reverse-engineering existing databases, and maintaining up-to date visual documentation.
- Architecture Collaboration: Work alongside Data Architects to implement robust architectural standards, establish data symbology, and support asset classification or master data management frameworks.
- Pipeline Support: Collaborate with data engineers and business analysts to translate complex business requirements (BRDs/RDDs) into clean, production ready schema designs.
- Forward/Reverse Engineering: Generate, review, and optimize DDL scripts from SQLDBM for deployment, and manage schema versioning and drift detection.
- Data Governance: Maintain data dictionaries, definitions, and metadata registries within SQLDBM to ensure data lineage and governance standards are strictly followed.
- Performance Tuning: Assist in optimizing SQL queries, indexing strategies, and clustering keys to ensure high-performance data retrieval.
Must-Have
- Experience: 3–5 years of professional experience in data modeling, data architecture, or data engineering.
- Tooling: Strong, hands-on proficiency with SQLDBM for visual modeling, schema generation, and collaboration.
- Methodologies: Proven expertise in Dimensional Modeling (Kimball/Star Schema) as well as relational modeling (3NF).
- Technical Skills: Advanced SQL skills for querying, data profiling, and analyzing complex data sets.
- Cloud Data Platforms: Direct experience modeling for modern cloud data warehouses, specifically Snowflake.
- Documentation: Proven track record of translating business needs into structured technical documentation and maintaining comprehensive data dictionaries.
Nice-to-Have (Preferred Qualifications)
- Version Control: Experience integrating SQLDBM with Git repositories (GitHub/GitLab) for database schema CI/CD pipelines.
- Domain Knowledge: Experience working within Financial Services, Wealth Management, or FinTech sectors (understanding of security master systems or portfolio accounting data is a major plus).
- Programming: Familiarity with Python for data manipulation or automated testing.
- Agile Frameworks: Experience working in an Agile/Scrum development environment.
- Certifications: Snowflake Certified Core Support, SnowPro Core, or relevant data modeling certifications.
