Lead Data Architect
jobs.talentsmart.co.in · Bengaluru, IN ·
- Work mode
- Onsite
- Seniority
- Lead
- Employment
- Full time
- Category
- Architecture
- Experience
- 5+ years
jobs.talentsmart.co.in · Bengaluru, IN ·
Experience: 10-15 Years
Mode: WFO ( 5 Days )
Job Location: Bangalore
Job Type: Full Time
Required Qualifications:
• Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent experience)
• Overall 10-15 years of experience with at least 5 years of proven experience as a Data Architect or similar role
• Strong knowledge of data modeling, data warehousing, and data integration techniques
• Proficiency in database management systems (e.g., SQL Server, Oracle, PostgreSQL)
• Experience with big data technologies (e.g., Hadoop, Spark) and data lake solutions (e.g., Azure Data Lake, AWS Lake Formation)
• Experience with big data technologies data lake solutions DBMS and cloud platforms
• Experience in data modeling, ERDs, Star and/or Snowflake, and physical model design for analytics and application integration
• Experience in designing data pipelines for optimal performance, resiliency, and cost efficiency
• Experience translating business objectives and goals into technical architecture for data solutions
• Familiarity with cloud platforms (e.g., Microsoft Azure, AWS, Google Cloud Platform)
• Strong understanding of data governance and security best practices
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skills
• Track record for defining/implementing data architecture framework and governance around master data, meta data, modeling
Preferred Qualifications:
• Experience in Erwin, Azure Synapse, Azure Databricks, Azure DevOps, SQL, Power BI, Spark, Python, R
• Ability to drive business results by building optimal cost data landscapes
• Familiarity with Azure AI/ML Services, Azure Analytics: Event Hub, Azure Stream Analytics, Scripting: Ansible
• Experience with machine learning and advanced analytics
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)
• Understanding of CI/CD pipelines and automated testing frameworks
• Certifications such as AWS Certified Solutions Architect, IBM certified data architect or similar are a plus