Associate Technical Architect - Data

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, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.

Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation #Solving What Matters . We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: 21 Google Cloud Partner of the Year awards in the past 10 years 3 AWS AI/ML Partner of the Year awards 3 NVIDIA Partner of the Year awards 3 Snowflake Partner of the Year awards Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc.,

powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit:
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Role:
Associate Technical Architect - Data Experience

Level: 8+ years

Employment type:

Full Time

Location:

Remote (UK)

• 8+ years of experience in designing and implementing data warehouses and data lakes/lake houses on AWS.
• Proven success working with globally distributed teams in collaborative delivery environments.
• Deep working knowledge across key AWS Data & Analytics services, including:
  Building large-scale data lake architectures on Amazon S3 and open table formats Implementing governance and cataloging through AWS Lake Formation. Developing ETL and metadata frameworks using AWS Glue. Leveraging AWS Lambda for serverless data processing. Running distributed data workloads on Amazon EMR. Enabling real-time data pipelines with AWS Kinesis (Data Streams and Firehose). Orchestrating pipelines using AWS Step Functions/Amazon MWAA/similar services.
  
  Designing and optimizing schemas and query performance on Amazon Redshift, including Spectrum and Serverless features. Querying large datasets interactively using Amazon Athena. Managing operational databases using Amazon RDS across engines such as PostgreSQL, MySQL, and Aurora. Integrating and migrating data using AWS DMS, Glue Connectors, Event Bridge, SNS, and SQS. Strong programming capability in Python and PySpark for large-scale data processing.
  
  Proficiency in writing complex SQL queries, analytical functions, and performance tuning for large datasets. Familiarity with No
  
  SQL databases such as Amazon DynamoDB, MongoDB, or Document DB. Strong understanding of partitioning, indexing, scaling approaches, and query optimization techniques. Proven experience in architecting and implementing data pipelines using native AWS services in a modular and resilient manner. Solid understanding of data modeling concepts, including dimensional, normalized, and lakehouse patterns. Background legacy/on premise to AWS migration engagements.

Solution Architect
- Associate or Data Engineer
- Associate Certification.

• Experience of working on enterprise greenfield projects that have Application development workload as well.
• Experience of working for customers/workloads in the FSI sector domain with use cases.
• Experience in building data pipelines…