Why join us
agileengine is an inc. 5000 company that creates award-winning software for fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and ai/ml, and our people-first culture has earned us multiple best place to work awards.
if you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you!
about the role
as a cloud data architect, you’ll lead the design of a next-generation aws data platform from the ground up — building the medallion lakehouse architecture that will become the unified data foundation for the entire organization. This is a greenfield opportunity for a senior architect who wants genuine ownership: shaping ingestion patterns, governance frameworks, and scalable data models across s3, redshift, glue, dbt, and airflow.
what you will do
* lead design and implementation of enterprise data architecture following medallion framework;
* develop data models, pipelines, and schemas for data unification, governance, and analytics;
* build and optimize aws‑based data infrastructure using core services;
* implement lakehouse architecture integrating structured and unstructured data;
* ensure performance, scalability, and cost efficiency of the data ecosystem;
* design and oversee data ingestion from multiple on‑prem and cloud systems;
* define integration strategies using batch, streaming, and event‑driven patterns;
* collaborate with governance teams to enforce data security, access control, and quality;
* work with engineering and business teams to deliver scalable data solutions;
* support data platform modernization initiatives and roadmap execution;
* document architecture, standards, and data flows for diverse audiences.
must haves
* 8+ years of experience in data engineering or architecture;
* 5+ years of experience working with aws data ecosystems;
* expertise with aws core services (s3, glue, redshift, lambda, athena, kinesis, emr);
* experience with data integration tools (dbt, step functions, airflow, aws dms, kafka, kinesis);
* strong knowledge of data modeling (medallion/lakehouse, dimensional modeling, data vault, kimball);
* experience with infrastructure as code (terraform, cloudformation);
* proficiency in python, sql, and spark (pyspark) for etl;
* strong understanding of data governance, quality, and security;
* experience with enterprise‑scale architecture and data integration;
nice to haves
* practical experience and certification with boomi atomsphere.
perks and benefits
* professional growth: mentorship, techtalks, and personalized growth roadmaps.
* competitive compensation: usd‑based pay with education, fitness, and team activity budgets.
* exciting projects: modern solutions with fortune 500 and top product companies.
* flextime: flexible schedule with remote and office options.
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