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RapidBrains | Senior Data Architect
2 weeks ago
Job Title: Senior Data Architect
Experience: 12+ Years
Location: Bangalore
Notice Period: Immediate to 15 Days
Job Description
We are looking for a Senior Data Architect to join our Financial Business Automation Products group. The role involves leading the development of scalable, secure, and innovative data architecture solutions in financial domains. The ideal candidate will have deep expertise in data modeling, governance, and AI/Gen AI integration.
Key Responsibilities
Platform Design and Architecture
- Lead the design of scalable and secure data platforms.
- Define standards for data modeling, integration, and lifecycle management.
- Create blueprints for data pipelines, lakes, warehouses, and analytical systems.
- Provide technical leadership in technology selection for data processing and storage.
Technical Solutions and Roadmap
- Influence enterprise architecture for sophisticated data solutions.
- Collaborate with cross-functional teams to refine requirements and develop data products.
- Develop data architecture roadmaps aligned with business needs.
Cloud Usage and Governance
- Design and implement cloud-based data solutions (Azure, Snowflake, Databricks).
- Optimize cloud resources for cost and performance.
- Ensure security, compliance, and governance for data platforms.
Innovation and Continuous Improvement
- Stay updated on trends in data architecture, big data, and AI.
- Drive initiatives to improve performance and scalability.
AI Integration
- Collaborate with AI teams to support Gen AI initiatives.
- Enable real-time and batch data processing for AI model deployment.
Technology and Tools
- Expertise in data lakes, warehouses, and integration pipelines.
- Big data technologies (Hadoop, Spark, Kafka).
- Cloud platforms (Azure, Snowflake, Databricks).
- ETL processes, SQL, and scripting (Python, Shell).
- BI tools (Tableau, Power BI, Looker).
- CI/CD pipelines and automation tools (Git, Jenkins, Terraform).
Qualifications
Education
- Bachelor’s degree in Computer Science, IT, or related field (Master’s preferred).
Experience
- 10+ years in data architecture, data modeling, and database design.
- Experience with cloud platforms and big data technologies.
Skills
- Strong knowledge of data governance, security, and compliance.
- Proven leadership and team mentoring abilities.
- Excellent problem-solving and communication skills.
Certifications
- Relevant certifications like AWS Big Data Specialty are a plus.