Posted:2 weeks ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Contractual

Job Description

Location:

Chennai (Work From Office)

Experience:

6–9 years

Type:

Contract

About The Role

We’re looking for a highly skilled

Senior Data Modeller

to lead the design and optimization of data models supporting enterprise applications and analytics on cloud infrastructure. You’ll work closely with engineering, product, and business stakeholders to deliver scalable, performant, and clean data structures that power mission-critical platforms.

Key Responsibilities

  • Lead the development of conceptual, logical, and physical data models for OLTP and OLAP systems.
  • Collaborate with engineering teams to optimize schema design, indexing, and partitioning for performance and scalability.
  • Define data modeling standards, governance rules, and best practices for schema evolution.
  • Build models using tools like DBSchema, and integrate across GCP data services (BigQuery, CloudSQL, AlloyDB).
  • Work closely with cross-functional teams to translate business requirements into efficient data models.
  • Enable data quality, consistency, and reuse across multiple systems and business domains.
  • Participate in code reviews, design validations, and performance tuning sessions.

Must-Have Skills

  • 6–9 years of experience in data modeling for enterprise platforms.
  • Deep understanding of OLTP and OLAP modeling patterns and trade-offs.
  • Strong expertise in indexing, partitioning, sharding, and performance tuning.
  • Experience with data modeling tools like DBSchema, ER/Studio, or ERwin.
  • Solid hands-on experience with GCP databases: BigQuery, CloudSQL, and AlloyDB.
  • Strong SQL skills and ability to design efficient database queries.
  • Ability to work independently and drive decisions around data architecture and governance.

Nice-to-Haves

  • Functional knowledge of mutual fund or BFSI domains.
  • Experience with ElasticSearch for analytical or logging pipelines.
  • Exposure to cloud-native architecture patterns and modern ETL workflows.
  • Familiarity with data versioning, lineage, or metadata management.

Qualifications

  • Bachelor's or Master’s degree in Computer Science, Information Systems, or related field.
  • Relevant certifications (e.g., Google Cloud – Professional Data Engineer, CDMP) are a plus.

Why Join Us

  • Work on complex, high-scale cloud platforms with a strong engineering team.
  • Be part of a fast-growing global consulting network delivering cutting-edge data solutions.
  • Enjoy a collaborative work culture, career development support, and competitive pay.
  • Opportunity to influence data architecture decisions across cloud transformation projects.
Skills: dbschema,cloudsql,sql,performance tuning,cloud,bigquery,erwin,sharding,er/studio,gcp,data modeling,alloydb,partitioning,architecture,oltp,data architecture,indexing,olap

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