Database Architect

Quantiphi

United States

On-site

USD 108,100 - 180,600

Full time

14 days+

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Job summary

A leading company in data science and machine learning is seeking a Database Architect to design and implement scalable data architecture solutions. The role involves working closely with clients to understand their database infrastructure and migration requirements, leading to impactful business outcomes. Ideal candidates will possess extensive experience in database migrations, strong communication skills, and proficiency in cloud platforms.

Qualifications

Extensive experience in database migrations and solution architecture.
Strong communication and presentation skills.
Proficiency in cloud platforms and data management best practices.

Responsibilities

Design and implement scalable data architecture solutions.
Lead the development of data models and ETL processes.
Collaborate with cross-functional teams to ensure alignment.

Skills

Database Migration

Solution Architecture

Cloud Platforms

Communication

Data Management

Education

Bachelor’s or Master’s degree in Computer Science

Tools

AWS

Azure

Google Cloud

SQL Server

Oracle

MySQL

PostgreSQL

Job description

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Quantiphi is an award winning Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. We are one of the five global launch partners for Google in Machine Learning and one of the three global launch partners for Google Cloud Contact Center AI solution. Our signature approach combines ground-breaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

We believe in “Solving What Matters”

Company Highlights:

Quantiphi has seen 2.5x growth YoY since its inception in 2013.
Headquartered in Boston, with 4000+ Quantiphi professionals across the globe
Recognized by Everest Group as “Specialist Leader” and “Star Performer” in Analytics and AI Services.
Winner of “Industry Partner of the Year” and “AI/ML partner of the Year” from AWS regional and global team for 2022.
Quantiphi is recognized by Gartner as a leading Vendor for US Healthcare Payers 2022 and for Healthcare Data, Analytics and AI 2022, in the AI strategy category.
Recognized under India's 40 Best Workplaces in Health and Wellness 2022.
Quantiphi has been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Job Description:

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:

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: