Data Architect
2 weeks ago
Job location: - Bengaluru/Gurgaon/Mumbai/Pune/Hyderabad
As a Data Architect, your responsibilities will include:
1. Developing Database Solutions:
o Create and optimize database structures to efficiently store and retrieve company data.
o Implement data migration strategies when transitioning to new systems.
o Collaborate with IT teams to set up databases and related tools.
2. Structural Requirements Analysis:
o Analyze structural requirements for new software and applications.
o Understand business needs and translate them into effective data models.
3. Data Migration:
o Migrate data from legacy systems to modern solutions.
o Ensure smooth data transition without compromising integrity.
4. Data Model Design:
o Design conceptual and logical data models.
o Create flowcharts to visualize data processes.
5. Performance Optimization:
o Continuously improve system performance by conducting tests and troubleshooting.
o Integrate new elements to enhance efficiency.
6. Security and Collaboration:
o Define security procedures for data access and management.
o Collaborate with the Data Science department to identify future needs and requirements.
7. Data Strategy Development:
o Strategic Thinking: Experience on understanding the client requirement, defining & implementing data strategy aligned with organizational goals.
o Data Governance: Establish policies and procedures for data management, quality, and compliance.
o Data Lifecycle Management: Define data lifecycle stages from creation to archival.
Qualifications
To excel in this role, you should have:
· Minimum 5-8 years of experience in data architecture, data analysis, and database design/maintenance.
· Expertise in data modeling, ensuring efficient and scalable structures.
· Strong knowledge of SQL, database management systems (DBMS), and cloud technologies.
· Familiarity with ETL toolsets and real-time data integration techniques.
· Experience with data visualization tools such as Tableau, D3.js, and R (highly desirable).
· Must have Expertise on cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Ability to deploy and manage databases in the cloud.
· Good to have understanding of artificial intelligence concepts, including machine learning, natural language processing, and predictive analytics. Experience with AI frameworks like TensorFlow or PyTorch is an added advantage.
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