Sr. Data Architect
$85 - $95 per hourBlend360
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
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
- 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
- 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
- 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
Vacancy posted 4 days ago
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