Q

Quantiphi

AI-driven digital transformation and automation services

Data Architect

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 10 years of experience.
  • Experience designing, deploying, and operating highly available, scalable, secure, and fault-tolerant systems using Amazon Web Services products including DMS, SCT, Redshift, Lambda, Glue, S3, EMR, and Kinesis.
  • Strong experience in data migration using AWS DMS and SCT services.
  • Strong experience migrating and modernizing databases and data warehouses on AWS.
  • Good understanding of traditional databases and data warehouses such as Oracle, Teradata, and Netezza.
  • Experience developing ETL solutions using SSIS, Talend, or Informatica.
  • Experience with back-end engineering and API development using Python or similar technologies.
  • Strong knowledge of OLTP and OLAP systems, dimensional strategies including Star Schema and Snowflake Schema, and Ralph Kimball Methodology.
  • Ability to integrate third-party APIs programmatically and access AWS programmatically through its API.
  • Ability to write SQL queries, stored procedures, and functions.
  • Previous experience working with distributed architectures such as Hadoop and MapReduce.
  • Understanding of DevOps best practices, including CI/CD and Infrastructure as Code.

Responsibilities

  • Serve as a trusted technical advisor to customers on complex cloud and data-related technical challenges.
  • Provide thought leadership in the architecture, design, and development of cloud data analytics solutions.
  • Liaise with internal and external stakeholders to design optimized data analytics solutions on AWS cloud.
  • Partner with subject-matter experts and solutions architects from leading cloud providers to present solutions to customers.
  • Support the Sales and go-to-market teams from a technical perspective in building proposals and statements of work.
  • Lead discovery and design workshops with potential customers across the globe.
  • Design and deliver thought-leadership webinars and technical talks alongside customers and partners.
  • Identify opportunities for productization and feature enhancement of the company’s product assets.

About the Company

Quantiphi

AI-driven digital transformation and automation services

Quantiphi uses AI and digital engineering to help organizations transform by making products and operations smarter and safer. It partners with clients to understand their challenges and then designs and builds customized AI and automation systems—combining machine learning, data analytics, and software engineering—delivering them under long-term contracts with ongoing support, and collaborating with Google Cloud to integrate technologies. Compared with competitors, it provides end-to-end, tailored solutions across industries rather than one-off projects, backed by long-term relationships and strong technology partnerships to scale. Its goal is to embed AI into products and processes to improve customer experiences and overall efficiency.

Company size
1,001-5,000
Company stage
Series A
Total funding
$23.4M
Headquarters
Marlborough, MA
Founded
2013

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