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Data Architect
Presidio
Chennai, IND
Full-time
Senior
Onsite
Discovered 3 weeks ago
AWSAzureDatabricksSnowflakeInformixSQL Server
Free
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Key Skills for This Role
AWSAzureDatabricksSnowflakeInformixSQL Server
Full Job Posting
Responsibilities Include
- Ability to understand the business requirements and to decompose for further analysis
- Proven track record in architecting performant and highly-scalable Data Platform
- Ability to understand customer’s business outcomes and to guide the customer through a Data workshop
- The aptitude and attitude needed to be a Trusted Advisor to the customer
- Understanding of various architectural patterns in Big Data
- Ability to operate in an agile environment
- Ability to actively seek out optimization approaches for Data Platform
- Ability to understand and articulate a problem
- Proven track record on Presales engagements
Required Skills and Professional Experience
- Data Modeling : Design and develop conceptual, logical, and physical data models that define data storage, processing, and access patterns. Ensure models support current and future business needs and align with data governance standards.
- Data Integration : Architect solutions to integrate data from diverse sources, enabling unified and consistent data access across the organization. Ensure seamless data flow between systems including legacy and modern platforms.
- Data Warehouse and Data Lake Architecture : Design scalable, efficient, and secure data warehouse and data lake/lakehouse architectures that support analytics and reporting requirements. Implement best practices in dimensional and normalized modeling for data warehouses.
- Cloud Data Platform Modernization : Lead migration and modernization efforts from legacy on-premises databases (e.g., Informix) to cloud-native or hybrid cloud platforms such as AWS, Azure, or Google Cloud. Develop detailed migration plans ensuring data integrity, security, and minimal downtime.
- Proficiency in Databricks/Snowflake : Utilize Databricks or Snowflake for building modern data platforms, including data processing, storage, and analytics. Optimize performance and scalability of these platforms.
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