Database Architect

Posted 3 Days Ago
Be an Early Applicant
2 Locations
Expert/Leader
Artificial Intelligence • Big Data • Machine Learning
The Role
As a Database Architect, you will design scalable data architectures, lead database migrations, and provide technical mentorship while ensuring alignment with business objectives.
Summary Generated by Built In

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

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.

Certifications:

● Certifications in cloud platforms (e.g., AWS Certified Database - Specialty, Azure Database

Administrator Associate, Google Cloud Professional Data Engineer) that demonstrate proficiency in cloud data services and migration techniques.

Good to have:

● Experience with AlloyDB and Spanner.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Top Skills

AWS
Aws Emr
Aws Rds
Aws Redshift
Azure
Azure Hdinsight
Azure Sql Database
Azure Synapse Analytics
Google Bigquery
GCP
Google Cloud Dataproc
Google Cloud Sql
MySQL
Oracle
Postgres
SQL Server
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The Company
HQ: Marlborough, MA
3,494 Employees
On-site Workplace
Year Founded: 2013

What We Do

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business.
Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

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