Principal Data Architect - Data Modelling

Tiger Analytics; Chennai District, Bengaluru, Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Tiger Analytics in Chennai is seeking a Senior Data Architect to lead large-scale data architecture initiatives, shaping data strategies and modelling across RDBMS, NoSQL, and cloud-native databases. You will guide cross-functional teams to deliver scalable data platforms that enable secure data governance and robust data management.

Ideal candidates bring deep expertise in OLTP/OLAP, data quality, and cloud data warehouses, with hands-on Python experience and a track record of leading data

Qualifications

• Minimum 15 years of experience in data architecture and related domains.
• Deep understanding of data architecture principles, data modelling, data integration, data governance, and data management technologies.
• Experience in data strategies and developing logical and physical data models on RDBMS, NoSQL, and Cloud native databases.
• Decent experience in one or more RDBMS systems (such as Oracle, DB2, SQL Server).
• Good understanding of Relational, Dimensional, Data Vault Modelling.
• Hands-on experience in Python and data transformation initiatives.

Responsibilities

• Lead large, complex data architecture initiatives and drive data transformation across the organization.
• Define data strategies and govern data architecture principles, standards, and best practices.
• Lead cross-functional teams, determine data models, and ensure data security and access controls.

Skills

Data architecture

Data modelling

Data governance

Data management

Python

Cloud data platforms

OLTP/OLAP

Tools

RDBMS

NoSQL

Cloud databases

Job description

Role & responsibilities

• Minimum 15 years of experience
• Deep understanding of data architecture principles, data modelling, data integration, data governance, and data management technologies
• Experience in Data strategies and developing logical and physical data models on RDBMS, NoSQL, and Cloud native databases
• Decent experience in one or more RDBMS systems (such as Oracle, DB2, SQL Server)
• Good understanding of Relational, Dimensional, Data Vault Modelling
• Experience in implementing 2 or more data models in a database with data security and access controls
• Good experience in OLTP and OLAP systems
• Excellent Data Analysis skills with demonstrable knowledge on standard datasets and sources
• Good Experience on one or more Cloud DW (e.g. Snowflake, Redshift, Synapse)
• Experience on one or more cloud platforms (e.g. AWS, Azure, GCP)
• Understanding of DevOps processes
• Hands‑on experience in one or more Data Modelling Tools
• Good understanding of one or more ETL tool and data ingestion frameworks
• Understanding of Data Quality and Data Governance
• Good understanding of NoSQL Database and modeling techniques
• Good understanding of one or more Business Domains
• Understanding of Big Data ecosystem
• Understanding of Industry Data Models
• Hands‑on experience in Python
• Experience in leading the large and complex teams
• Good understanding of agile methodology
• Extensive expertise in leading data transformation initiatives, driving cultural change, and promoting a data‑driven mindset across the organization
• Excellent Communication skills
• Understand the Business Requirements and translate business requirements into conceptual, logical and physical Data models
• Work as a principal advisor on data architecture, across various data requirements, aggregation data lake data models data warehouse etc.
• Lead cross‑functional teams, define data strategies, and leverage the latest technologies in data handling
• Define and govern data architecture principles, standards, and best practices to ensure consistency, scalability, and security of data assets across projects
• Suggest best modelling approach to the client based on their requirement and target architecture
• Analyze and understand the Datasets and guide the team in creating Source to Target Mapping and Data Dictionaries, capturing all relevant details
• Profile the Data sets to generate relevant insights
• Optimize the Data Models and work with the Data Engineers to define the Ingestion logic, ingestion frequency and data consumption patterns
• Establish data governance practices, including data quality, metadata management, and data lineage, to ensure data accuracy, reliability, and compliance
• Drives automation in modeling activities Collaborate with Business Stakeholders, Data Owners, Business Analysts, Architects to design and develop next generation data platform
• Closely monitor the Project progress and provide regular updates to the leadership teams on the milestones, impediments etc.
• Guide /mentor team members, and review artifacts
• Contribute to the overall data strategy and roadmaps
• Propose and execute technical assessments, proofs of concept to promote innovation in the data space