Principal Architect

1 week ago

Hyderabad, India Sparklehood Full time

Role : Principal Architect - Data Modelling

Role Description :


As a Principal Architect, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member, and an Architect as demanded by each project to define, design, and deliver actionable insights.

On a typical day, you might :


- 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 And Qualifications :




- 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


Note : The designation will be commensurate with expertise and experience.


(ref:hirist.tech)

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