Data Architect

2 weeks ago


Bangalore Urban, India NeerInfo Solutions Full time

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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