Job Description

Description :


We are seeking a highly skilled Data Architect to design and manage the organization's data framework, ensuring efficient data integration, storage, and retrieval processes. The ideal candidate will have expertise in creating scalable data architectures, defining data governance practices, and enabling advanced analytics to support business objectives.


No of Vacancies:


• 1

Experience:


• 5+ years

Qualification:


• B.Tech/ B.E./ MCA or higher in a related field
Location:


• Expected to travel and be stationed across various States in India as per project requirement.



Skills/Requirements :


• Proficiency in relational (SQL) databases like MySQL, PostgreSQL, Oracle and SQL Server.
• Ability to design conceptual, logical and physical data models.
• Experience with data modelling tools like Visio, Lucid chart etc.
• Experience with ETL (Extract, Transform, Load) and CDC (Change Data Capture).
• Expertise in integrating data from diverse sources including APIs, flat files and legacy systems.
• Experience with data warehouse solutions like Amazon Redshift, Snowflake etc.
• Knowledge of designing and managing data lakes for large-scale, unstructured data.
• Familiarity with AWS, Azure, Oracle or Google Cloud data services (e.g., AWS RDS, Azure Synapse).
• Experience in migrating on-premises data systems to the cloud.
• Understanding of BI tools like Tableau, Power BI or Looker for reporting and visualization.
• Expertise in data encryption, access control, and anonymization technique.
• Proficiency in SQL and other programming languages like Java, Python or Scala.
• Experience in scripting tasks for automation and data pipeline orchestration.
• Skills in query optimization and indexing for large-scale data systems.
• Familiarity with tools like Splunk, Datadog or Grafana for monitoring system performance.

Qualification:


• B.Tech/ B.E./ MCA or higher in a related field.
• Any leading certification in data architect.
• Minimum 5 years of professional experience in storage and management of electronic data software.
• Experience with database management systems software, determining effective storage methods while managing tasks involved in database environment.
• Excellent problem-solving abilities and detail orientation.
• In depth knowledge in the proposed DB.
• Fluency in English and Hindi (Speaking, reading & writing).

Responsibilities:


Data Architecture Design:


• Design conceptual, logical and physical data models to organize and store data effectively.
• Establish guidelines and best practices for data management, including naming conventions, schemas and data governance.
• Ensure data solutions are scalable, maintainable and aligned with organizational goals.
Data Management and Governance:


• Define strategies for integrating data from diverse sources, including databases, APIs and third-party applications.
• Implement processes to maintain high data quality, integrity and consistency.
Database and Storage Solutions:


• Select appropriate database technologies (e.g., relational, NoSQL, graph databases) based on use cases.
• Monitor and tune database performance to handle large-scale data operations efficiently.
• Design data storage solutions that balance cost, performance and scalability.
Collaboration with Stakeholders:


• Work closely with business analysts and other stakeholders to understand data needs.
• Collaborate with software developers, DevOps teams and cloud architects to implement data solutions.
• Communicate data strategies and solutions to technical and non-technical stakeholders.

Cloud and Big Data Solutions:


• Design and manage cloud-based data architectures using platforms like AWS, Azure, Oracle or Google Cloud.
Security and Risk Management:


• Implement measures like encryption, access controls and anonymization to protect sensitive data.
• Design backup and recovery strategies to ensure business continuity.
Monitoring and Continuous Improvement:


• Track the performance of data systems and troubleshoot issues as needed.
• Continuously improve data architectures to reduce costs and enhance performance.
• Stay updated on emerging technologies and incorporate innovations into the data strategy.
Posted On :


Dec 17, 2024
Last date of Submission :


Jan 15, 2025