BLEND360

Data, Digital Marketing, & AI Solutions

Sr.DataArchitect

$0–0k St. Louis, Missouri, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Sr. Data Architect at BLEND360. Skills: Data Architecture, AWS, Data Lake, Data Ingestion. Design ingestion architecture. Define scalable ingestion patterns”

What You'll Achieve.

fueling remarkable outcomes for our Fortune 500 clients; enable reliable, near-real-time marketing data access; ensure scalability, performance, maintainability, and operational excellence

Industry & Context.

Data, Digital Marketing, & AI Solutions
Problems you'll solve

systems-oriented; think strategically

What They're Looking For.

Must Have

10+ years of experience in data engineering, 3+ years serving in a Data Architect or Solution Architect capacity, Experience working in large enterprise environments, AWS data services, Python, PySpark, modern data lake architecture, large-scale data ingestion frameworks, data contracts, schema management, data governance principles, architectural documentation, implementation specifications

Nice to Have

marketing, customer, or analytics-focused data platforms, Telecommunications industry experience, AWS Glue, Amazon S3, AWS Lake Formation, Amazon Athena, Change Data Capture (CDC), streaming ingestion patterns, distributed data processing, cloud-native architecture patterns

What You'll Do.

Design ingestion architecture

Define scalable ingestion patterns

Architect data contracts

Design and optimize AWS S3 data lake structures

Define CDC and streaming ingestion patterns

Translate architecture into technical specifications

Partner with engineering leadership

Provide technical leadership

How You'll Work.

Team & Collaboration

partnering closely with client stakeholders; data engineering teams; cross-functional business leaders; Translate conceptual and logical architecture into detailed, implementable technical specifications for distributed and nearshore Data Engineering teams; Partner with engineering leadership and client stakeholders; communicate complex technical concepts clearly to both engineering and business stakeholders; thrive in collaborative, fast-moving consulting environments

Communication Scope

communicate complex technical concepts clearly

Full Job 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. 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, perfor

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