Data Architect ID52062

Department: Engineering
Specialization: Data Engineer
Experience: Architect Lead
Technologies: AWS Python Spark SQL
Client: Landmark
Technical flow: Data Engineer
Engineering technical flow: Data Engineer
Non-engineering technical flow: none
  • 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;
  • Upper-intermediate English level.

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.

The benefits of joining us

Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps

Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities

A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands

Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Your AgileEngine journey starts here

1

2 min

Tell us about yourself

2

2 sec

Confirm requirements

3

30 - 60 min

Pass a short test

4

5 min

Record a short video

→ Introduce yourself on a video, instead of waiting for an interview

5

Live interview

Ace the technical interview with our team

→ Schedule a call yourself right away after your video is reviewed

6

Live interview

Final interview with your team

→ Get to know the team you will be working with

7

Get an offer

As quick as possible

Our geography

UTC-5
WASHINGTON DC USA
UTC-5
MIAMI USA
UTC-6
MEXICOMexico
UTC-5
ColombiaColombia
UTC-3
BrazilBrazil
UTC-3
ArgentinaArgentina
UTC+2
UkraineEurope
UTC+1
PolandEurope
UTC+0
PortugalPortugal
UTC+5:30
IndiaIndia

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