Data Architect

Quantiphi • Boston, MA

76d

About The Position

Quantiphi is seeking a highly experienced Data Architect to lead the design and implementation of scalable, secure, and future-ready enterprise data solutions. The ideal candidate will have deep expertise across AWS Cloud, Snowflake, and big data platforms, with a strong background in financial services or large regulatory organizations.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 9+ years of experience in a large IT organization, with at least 8 years in Information Management, Business Intelligence, and Data Analytics.
• 5+ years of experience architecting and implementing solutions in financial or regulatory organizations.
• 5–8 years of hands-on experience in data engineering.
• Strong expertise in SQL, Python, and AWS Cloud technologies.
• Hands-on experience with Snowflake for data warehousing and analytics.
• Proficiency in data architecture and data modeling.
• Practical experience with AWS Glue, S3, Lambda, and Redshift (or equivalent).
• Solid knowledge of Scala/Spark for large-scale data processing.
• Strong understanding of ETL/ELT pipelines, data governance, and performance optimization.
• Experience in the Financial Services or Asset Management domain preferred.
• Exposure to modern data architecture and databases (RDBMS, SQL, Graph, etc.).
• Familiarity with SageMaker, CloudFormation, and cloud-based data formats such as Athena.
• Proven experience in Master Data Management (MDM) setup, implementation, and execution.
• Deep understanding of architectural patterns, frameworks, and reference models for data and analytics.
• Relevant certifications such as AWS, Google Cloud, Azure, or Snowflake are required.

Responsibilities

• Define and implement enterprise-level data architecture strategies, frameworks, and standards.
• Design scalable and secure data models to support business intelligence, analytics, and application needs.
• Architect end-to-end data solutions across AWS Cloud, Snowflake, and big data ecosystems.
• Partner with business stakeholders to translate requirements into robust and optimized data architectures.
• Establish and maintain best practices for data governance, metadata management, and data quality frameworks.
• Evaluate, recommend, and implement modern tools and technologies to enhance the data ecosystem.
• Ensure architectural designs meet performance, scalability, and cost-efficiency goals.
• Collaborate with data engineers, analysts, and solution architects to ensure architectural integrity and alignment.
• Provide technical leadership, mentoring, and guidance to junior engineers.
• Drive advanced analytics enablement and innovation across teams.

Benefits

• Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
• Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
• Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
• Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees