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 #SolvingWhatMatters.
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: Website or LinkedIn Page
Role: Associate Technical Architect - Data
Experience Level: 8+ years
Employment type: Full Time
Location: Remote (UK)
Basic Qualifications:
8+ years of experience in designing and implementing data warehouses and data lakes/lakehouses 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, EventBridge, 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 NoSQL databases such as Amazon DynamoDB, MongoDB, or DocumentDB.
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.
Good to have skills:
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 integrating with data virtualization tools like Denedo & data governance tools like Collibra.
Exposure to SSIS.
What is in it for you:
- Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
- Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
- Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
- Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Skills Required
- 8+ years of experience designing and implementing data warehouses and data lakes or lakehouses on AWS
- Experience working successfully with globally distributed teams in collaborative delivery environments
- Deep knowledge of AWS data and analytics services, including S3, Lake Formation, Glue, Lambda, EMR, Kinesis, Step Functions or MWAA, Redshift, Athena, RDS, DMS, EventBridge, SNS, and SQS
- Strong programming capability in Python and PySpark for large-scale data processing
- Proficiency writing complex SQL queries, analytical functions, and performance tuning for large datasets
- Familiarity with NoSQL databases such as DynamoDB, MongoDB, or DocumentDB
- Understanding of partitioning, indexing, scaling, and query optimization techniques
- Experience architecting and implementing modular, resilient data pipelines using native AWS services
- Understanding of dimensional, normalized, and lakehouse data modeling patterns
- Experience with legacy or on-premises to AWS migration engagements
- AWS Solutions Architect Associate or AWS Data Engineer Associate certification
- Experience with enterprise greenfield projects involving application development workloads
- Experience serving financial-services industry customers or workloads
- Experience integrating data pipelines with Denodo and Collibra
- Exposure to SSIS
Quantiphi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.
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Wellbeing & Lifestyle Benefits — Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
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Flexible Benefits — Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
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Parental & Family Support — Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.
Quantiphi Insights
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
