Cloud Data Architect for AI & Analytics

Slalom

Tampa (FL)

Hybrid

USD 115,000 - 183,000

Full time

3 days ago
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Benefits offered by this job

401(k) with match
Health, dental, vision coverage
Paid holidays

Job summary

Slalom is seeking a Data Architect to design scalable, cloud-native data platforms and lead architecture decisions for analytics, AI, and GenAI initiatives in a hybrid environment. You will guide delivery, mentor engineers, and collaborate with cross-functional teams to translate business goals into robust data solutions.

The role emphasizes hands-on design, leadership, and collaboration with AWS, Azure, GCP, Databricks, and Snowflake partners.

Qualifications

  • 8+ years of experience in data engineering, data architecture, or related disciplines.
  • Experience designing enterprise-scale cloud data platforms and modern data architectures.
  • Strong understanding of data lakes, lakehouses, data warehouses, streaming architectures, and governance concepts.
  • Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and a desire to expand across the broader cloud ecosystem.
  • Experience leading architecture efforts from discovery through implementation while staying engaged in delivery.
  • Strong communication, consulting, and stakeholder management skills.
  • Passion for mentoring others, continuous learning, and emerging technologies.

Responsibilities

  • Design and evolve cloud-native data architectures, including data lakes, lakehouses, data warehouses, and real-time platforms.
  • Translate business objectives into scalable, secure data solutions.
  • Lead architecture and technical design efforts from discovery through implementation.
  • Partner with engineering teams to deliver data platforms across AWS, Azure, GCP, Databricks, Snowflake, and related technologies.
  • Design AI-ready data foundations to support analytics, ML, Generative AI, and agentic AI workloads.
  • Apply AI-enabled engineering practices to improve quality and delivery outcomes.
  • Facilitate architecture workshops, technical discovery sessions, and stakeholder alignment.
  • Mentor engineers and architects to grow technical capabilities and foster learning and innovation.
  • Collaborate with Data Engineering teams and Centers of Excellence to share best practices.
  • Support business development with solution design, client conversations, and pre-sales efforts.

Skills

Data architecture
Data engineering
Cloud platforms
Leadership
Communication

Tools

Python
SQL
CI/CD
Infrastructure as Code
Databricks

Job description

Slalom is seeking a Data Architect to design scalable, cloud-native data platforms and lead architecture decisions for analytics, AI, and GenAI initiatives in a hybrid environment. You will guide delivery, mentor engineers, and collaborate with cross-functional teams to translate business goals into robust data solutions.

The role emphasizes hands-on design, leadership, and collaboration with AWS, Azure, GCP, Databricks, and Snowflake partners.

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