Data Architect

Overview Join to apply for the Data Architect role at Quantiphi . AI-First Digital Engineering Company, Seeking Top Talent in North America in Technical and Sales Roles. About Quantiphi: Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by solving transformational problems at the heart of businesses. Our signature approach combines machine-learning research with cloud and data-engineering practices to create impact at speed. Headquartered in Boston, with 4,000+ professionals globally, Quantiphi leverages Applied AI across multiple industry verticals and is an established partner of NVIDIA, Google Cloud, AWS, Snowflake, and others. We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by Generative AI and Agentic AI accelerators. Quantiphi was recognized as a Great Place to Work for the third year in a row (2021, 2022, 2023). Role Data Architect Experience Level: 10+ years Employment Type: Full-Time Role Overview 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. Key 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. Basic Qualifications Bachelors 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. 58 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. Whats in it for YOU at Quantiphi Make an impact at one of the worlds 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 colleagues. Work where innovation happensresearch-focused environment with 60+ patents filed across various disciplines. Stay ahead of the curveimmerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure with Fortune 500 companies. Additional Information Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: IT Services and IT Consulting Referrals increase your chances of interviewing at Quantiphi by 2x #J-18808-Ljbffr