2503 - Data Architect

Position: Data Architect

Location: Hyderabad (preferred) or Bangalore - Hybrid

Experience: 10+ Years

Job Description:

We are seeking a talented and experienced Data Architect to join our Solutions team. The ideal candidate will have extensive experience in designing and implementing data architectures for high velocity streaming data, with a strong emphasis on AWS cloud technologies, Databricks, and data lakehouse. This role may also include current state assessment responsibilities and will need collaboration with client teams.

Must-Have Qualifications:

• 10+ years of experience in data architecture
• Strong proficiency in handling very high velocity streaming data for building data lake/ data warehouse solutions.
• Hands-on experience with AWS services, Apache Kafka, Databricks, Kubernetes and Docker.
• Programming experience with advanced Python, PySpark, SQL.
• Expert proficiency in Data contracts and Data Modeling.
• Conversant with Atlassian suite – Confluence, JIRA.
• Excellent problem-solving skills and the ability to articulate data architecture approach and decisions.
• Strong communication skills, both verbal and written, with the ability to present complex ideas clearly.

Key Responsibilities:

• Design and implement scalable data architectures for handling streaming data to generate real time insights.
• Collaborate with cross-functional teams to gather requirements and translate them into data solutions.
• Develop and maintain data models, data flow diagrams, and architecture blueprints.
• Optimize and maintain SQL databases and data warehouses to support business operations.
• Ensure data integrity, quality, and security throughout the data lifecycle.
• Support cloud-based data solutions, with a preference for AWS, and contribute to migration strategies.
• Communicate effectively with technical and non-technical stakeholders to articulate data strategy and solutions.

Good to have

• Domains: Sports, Betting
• Relevant Certification in Databricks

Key Skills: AWS, Databricks, Python, PySpark, SQL