Principal Data Architect | AWS | AI

Motion Recruitment
Dallas, TX, United States
28 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Computing Platforms Continuous Integration Data Architecture Information Engineering Data Governance Data Systems Data Streaming Togaf Event Driven Architecture AWS Data Analytics
+2 more
Apache Kafka Data Pipelines

Job description

  • 50% AWS architecture & platform design
  • 30% Data pipelines & streaming
  • 20% AI & advanced data solutions

Daily Responsibilities

  • Design data architecture & roadmaps
  • Build scalable pipelines & integrations
  • Mentor teams & drive best practices

Requirements

  • 10+ years in data architecture/data engineering
  • Strong AWS data platform expertise
  • Experience with data modeling, frameworks, and architecture design
  • Real-time & batch data pipelines (Kafka preferred)
  • Data governance and quality implementation
  • TOGAF or similar certification

Desired Skills & Experience

  • AI data architectures (RAG, vector DBs, MCP)
  • Streaming/event-driven systems
  • CI/CD & automation
  • Leadership and team mentorship

About the company

Join a fast-growing organization in the financial services industry, focused on building modern, scalable data platforms using AWS, Kafka, and AI-driven architectures. This role centers on leading enterprise data transformation into next-generation, AI-enabled ecosystems that support advanced analytics, risk modeling, and real-time decision-making.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:37 min

Introduction to Apache Kafka benchmarking and performance analysis

Kirill Kulikov · LIVE

2:37 min

Classifying and anonymizing data during system design

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Career evolution in data engineering and AI platforms

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Defining Apache Kafka and its primary real-time use cases

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Bridging operational and analytical systems using formal data contracts

Matthias Niehoff Matthias Niehoff · World Congress 2024

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Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

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