Senior Data Architect

Location: Prakāshamnagar

Years of Exp

15+
Location – Pan India or any constraint

Hyderabad
Project type (Support / Dev / Maintenance / Testing)

Development
Shift involved – If yes please share timing.

2 to 11 PM IST
Customer interview involved – yes / No

Yes
Salary Range

Skill
Mandatory
Proficiency Level (1-5)
Analyze data requirements and design efficient data models.
Yes
5
Ensure data integrity and accuracy.
Yes
5
Contribute to the development and maintenance of data models.
Yes
5
Data Visualizations
Yes
4
Excellent Communication Skills
Yes
5
Firm understanding of SDLC (software development lifecycle) with Source code
Yes
4
Understand different types of Data Modeling Techniques and Methodologies for traditional OLAP/OLTP databases and modern Data Warehouses
Yes
5
Must have worked on data modeling for Oracle, Big Query
Yes
5

Key Skills
Data warehouse modeling experience in enterprise data domains such as HR operations, Finance, Sales and Marketing
Good understanding of data management principles such as data governance, data security, data quality
Responsibilities
Work with Product Owner/Business Analysts to understand functional requirements, interpret complex business requirements, translate into meaningful data requirements and interact with other cross-functional teams to architect & deliver data solutions
Initiates, leads, and performs in-depth analysis and provides recommendations on data architecture to support complex business problems.
Design data models - Conceptual, Logical and collaborate with Data Engineers on the data model, its maintenance and optimization, and end-to-end data-driven integration strategy
Participate in developing the future state data architecture standards, guidelines, and principles
Qualifications

Minimum qualifications:

5 or more years of experience in Data architecture and data modeling
Strong domain expertise in functional areas like Finance, Risks, HR, Supply Chain etc

Experience with SQL or equivalent database querying language
Working knowledge of relational databases, including MySQL, and large-scale distributed systems
Analytical skills with the experience identifying, quantifying, and effectively raising business risks associated with data quality or non-compliance
Strong communication and collaboration skills with capability to execute with business stakeholders.