Principal Data Architect- Data Modelling

2 days ago

Gurugram, India Tiger Analytics Full time

Job Description

Role & responsibilities

- 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, andleveragethe 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.

Preferred candidate profile

- Minimum 16 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

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