Sr. Data Architect

Posted Yesterday
Be an Early Applicant
Hiring Remotely in St. Louis, MO, USA
In-Office or Remote
85-95 Hourly
Senior level
Database • Analytics
The Role
Lead architecture design for a marketing data layer, define scalable ingestion frameworks, and optimize AWS data lake structures while collaborating with teams.
Summary Generated by Built In
Company Description

BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence.

Job Description

This is an hourly position that could become permanent over time. 

 

We are looking for a highly skilled Data Architect to lead architecture design for a large-scale Marketing Data Layer initiative supporting a major telecommunications provider. This role will be responsible for defining scalable ingestion frameworks, modern data lake architecture, and data integration standards that enable reliable, near-real-time marketing data access across the enterprise. 

This is an opportunity to shape a high-impact AWS-based data ecosystem while partnering closely with client stakeholders, data engineering teams, and cross-functional business leaders. 

What You’ll Do 

  • Design and own the ingestion architecture that moves data from 20+ enterprise source systems into the AWS Marketing Data Layer  

  • Define scalable ingestion patterns for both legacy and direct source integrations across 18 business and data domains  

  • Architect and document data contracts between source systems and the data layer, including: 

    • Schema standards and versioning  

    • SLAs and freshness expectations  

    • Data quality and governance requirements  

  • Design and optimize AWS S3 data lake structures, including:  

    • Raw, staged, and curated zones  

    • Partitioning and storage strategies  

    • Lake Formation access controls and governance policies  

  • Define Change Data Capture (CDC) and streaming ingestion patterns to support near-real-time data freshness requirements  

  • Translate conceptual and logical architecture into detailed, implementable technical specifications for distributed and nearshore Data Engineering teams  

  • Partner with engineering leadership and client stakeholders to ensure scalability, performance, maintainability, and operational excellence across the platform  

  • Provide technical leadership and architectural guidance throughout the delivery lifecycle  

Qualifications

 

Required Skills 

  • Strong experience with AWS data services including:  

    • AWS Glue

    • Amazon S3

    • AWS Lake Formation  

  • Amazon Athena  

  • Deep expertise in modern data lake architecture and large-scale data ingestion frameworks  

  • Experience designing CDC and streaming-based ingestion patterns  

  • Strong understanding of data contracts, schema management, and data governance principles  

  • Advanced experience with Python and PySpark  

  • Strong knowledge of distributed data processing and cloud-native architecture patterns  

  • Ability to create clear architectural documentation and implementation specifications for engineering teams  

Required Experience 

  • 10+ years of experience in data engineering, data platform architecture, or related disciplines  

  • 3+ years serving in a Data Architect or Solution Architect capacity  

  • Experience working in large enterprise environments with complex, multi-source data ecosystems  

  • Experience supporting marketing, customer, or analytics-focused data platforms preferred  

  • Telecommunications industry experience is a plus  

What Makes You Successful 

  • You are systems-oriented and think strategically about scalability, reliability, and long-term maintainability  

  • You can balance architecture vision with hands-on technical depth  

  • You communicate complex technical concepts clearly to both engineering and business stakeholders  

  • You thrive in collaborative, fast-moving consulting environments  

  • You bring a product mindset to enterprise data platforms and care deeply about operational excellence  

Additional Information

#LI-AJ1

 

The starting pay range for this role is $85 - $95/hr.  Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 offers a competitive benefits program designed to support the health and financial well-being of our team members and their families. Benefits vary by role and eligibility and may include medical, dental, and vision coverage, a 401(k) plan, paid time off, paid holidays, commuter benefits, flexible spending accounts, life and disability insurance, and employee assistance programs.

Skills Required

  • Strong experience with AWS data services including AWS Glue, Amazon S3, AWS Lake Formation, and Amazon Athena
  • Deep expertise in modern data lake architecture and large-scale data ingestion frameworks
  • Experience designing CDC and streaming-based ingestion patterns
  • Advanced experience with Python and PySpark
  • Strong understanding of data contracts, schema management, and data governance principles
  • 10+ years of experience in data engineering, data platform architecture, or related disciplines
  • 3+ years serving in a Data Architect or Solution Architect capacity
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Columbia, MD
390 Employees
Year Founded: 2016

What We Do

Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.

Similar Jobs

Higginbotham Logo Higginbotham

Data Architect

Insurance • Financial Services
In-Office or Remote
2 Locations
1095 Employees

Stratus Logo Stratus

Data Architect

Big Data • Software
Remote
United States
87 Employees

Superlanet Logo Superlanet

Data Engineer

Healthtech • HR Tech • Information Technology • Professional Services
Remote
USA
70-81 Hourly

Salesforce Logo Salesforce

Architect

Cloud • Software
In-Office or Remote
47 Locations
72000 Employees
150K-248K Annually

Similar Companies Hiring

Northslope Thumbnail
Artificial Intelligence • Information Technology • Software • Analytics • Consulting • Generative AI
London, GB
100 Employees
Scotch Thumbnail
Artificial Intelligence • eCommerce • Fintech • Payments • Retail • Software • Analytics
US
35 Employees
Milestone Systems Thumbnail
Artificial Intelligence • Other • Security • Software • Analytics • Big Data Analytics
Lake Oswego, OR
1500 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account