Data Architect
7 days ago
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
About Quantiphi:
Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don't just innovate - we lead.
Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.
We've been recognized with:
- 17x Google Cloud Partner of the Year awards in the last 8 years.
- 3x AWS AI/ML award wins.
- 3x NVIDIA Partner of the Year titles.
- 2x Snowflake Partner of the Year awards.
- We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.
- We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
- We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.
For more details, visit: Website or LinkedIn Page.
Role:Data Architect
Experience Level:10+ years of experience
Employment Type:Full-Time
Work Location: New York
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.
- 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.
- 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.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us
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