Senior AWS Data Architect

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Dallas / $170000 - $190000 annum

INFO

Salary

SALARY:

$170000 - $190000

Location

LOCATION

Dallas

Job Type
JOB TYPE

Permanent

Senior Data Architect - AWS

$170,000-190,000

The ideal candidate brings a combination of deep technical expertise, architectural leadership, and the ability to align technology solutions with evolving business objectives. This role will play a key part in modernizing data ecosystems and driving long-term data strategy.

Key Responsibilities

  • Define and maintain current-state and future-state data architecture roadmaps, including migration and modernization strategies.
  • Develop architectural recommendations that balance scalability, performance, cost, security, and implementation timelines.
  • Partner with stakeholders to align data capabilities with strategic business initiatives and operational goals.
  • Design and implement robust data integration frameworks supporting batch, streaming, and event-driven architectures.
  • Architect scalable, high-performance data pipelines and distributed data processing solutions within AWS environments.
  • Establish enterprise data models, standards, and reference architectures across operational and analytical platforms.
  • Evaluate and integrate modern AI and machine learning enablement technologies, including vector-based data solutions, retrieval frameworks, and large language model architectures.
  • Promote automation, infrastructure-as-code, CI/CD, and reusable engineering patterns to improve efficiency and consistency.
  • Lead data governance, metadata management, data quality, and security initiatives throughout the data lifecycle.
  • Provide technical leadership, mentorship, and architectural guidance to engineering and data teams.
  • Collaborate across technology and business functions to drive innovation and continuous improvement.

Required Qualifications

  • Bachelor's degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related discipline.
  • 15+ years of experience in data architecture, data engineering, or enterprise data management.
  • Extensive experience designing and implementing cloud-based data platforms, preferably within AWS.
  • Strong background in enterprise data modeling, data integration, and data architecture frameworks.
  • Experience with large-scale data warehouse, data lake, or lakehouse architectures.
  • Expertise in streaming and event-driven technologies, including Apache Kafka or similar platforms.
  • Knowledge of modern AI-enabled data architectures, including vector databases, retrieval mechanisms, and generative AI implementations.
  • Experience establishing enterprise standards, governance frameworks, and data quality practices.
  • Proven ability to lead technical strategy and influence cross-functional stakeholders.
  • TOGAF certification or equivalent enterprise architecture framework experience preferred.

Preferred Technical Skills

  • AWS data and analytics services
  • Cloud-native architecture and modernization
  • Data lakes, lakehouses, and data warehouses
  • Apache Kafka and streaming technologies
  • Data modeling and metadata management
  • Data governance and security frameworks
  • Infrastructure as Code (IaC)
  • CI/CD and DevOps practices
  • Generative AI, RAG, vector databases, and orchestration frameworks
  • Enterprise architecture methodologies

CONTACT

Michael DeVita

Recruitment Consultant

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