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Designation: Database Architect
Experience Level: 10+ Years
Location: Mumbai/Bangalore/Trivandrum
Role & Responsibilities
Work in tandem with the sales team to engage potential clients, comprehensively understanding their
database infrastructure, challenges, and migration requirements.
Design and implement scalable data architecture solutions that support business objectives and enhance decision-making capabilities
Lead the development/delivery of data models, ETL processes, and data integration solutions
Develop robust and tailored database migration strategies, considering factors such as database types, volumes, structures, and client-specific needs.
Analyze client database landscapes to identify migration challenges, risks, and opportunities, translating these into technical specifications and migration plans.
Collaborate closely with cross-functional teams to ensure alignment of proposed migration solutions with technical capabilities and product roadmaps.
Prepare comprehensive technical documentation, migration plans, and proposals, articulating migration strategies, methodologies, and expected outcomes clearly.
Stay abreast of the latest trends, tools, and best practices in database migration, ensuring the proposed solutions incorporate cutting-edge methodologies and technologies.
Gather feedback from sales teams and clients to refine migration solution offerings, contributing to the enhancement of best practices and service quality.
Provide technical leadership and mentorship to junior architects and engineers.
Engage with stakeholders to communicate architecture decisions and their impact on business processes.
Qualification & Skills Required
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
Extensive experience in a role involving database migrations, solution architecture, or consulting within the data management domain.
Profound knowledge of various database systems, migration tools, methodologies, and best practices in migrating data across different platforms (e.g., SQL Server, Oracle, MySQL, PostgreSQL, etc.).
Strong communication, presentation, and interpersonal skills to effectively convey technical concepts and migration strategies to diverse audiences.
Experience in leading and delivering cloud migration projects, creating project plans, guiding engineers and developing onboarding plans
Cloud Data Services Proficiency
Cloud Platforms: Expertise in cloud platforms such as AWS, Azure, Google Cloud, or others, with a deep understanding of their respective data services (AWS RDS, Azure SQL Database, Google Cloud
SQL, etc.).
Data Storage: Comprehensive knowledge of various cloud-based storage options (object storage, block storage) and their optimal usage for different types of data.
Big Data Services: Familiarity with cloud-based big data services like AWS EMR, Azure HDInsight, Google Cloud Dataproc, etc., and their integration into migration strategies.
Data Warehousing: Proficiency in cloud-based data warehousing solutions (AWS Redshift, Azure Synapse Analytics, Google BigQuery) and their capabilities for handling large-scale data.
Performance Optimization: Proficiency in optimizing data migration performance on cloud platforms by leveraging features like parallel processing, data compression, and tuning.
Security and Compliance: Knowledge of security best practices and compliance standards related to data migration, ensuring data integrity and confidentiality during migration.
Monitoring and Troubleshooting: Capability to implement monitoring mechanisms and troubleshoot issues during migration, minimizing risks and ensuring a smooth transition.
Cost Optimization: Familiarity with cost-effective strategies for data migration on cloud platforms, optimizing resource utilization and minimizing expenses.
Post-Migration Validation: Ability to conduct thorough validation and testing post-migration to ensure data accuracy, integrity, and compatibility with target systems.
Cross-Platform Migration Experience
Proven experience in migrating data between different database management systems (SQL Server, Oracle, MySQL, PostgreSQL, etc.) on different platforms [Cloud/ On Premise]
Continual Learning And Adaptability
A strong inclination toward continual learning and adaptation to evolving cloud technologies, tools, and migration methodologies.