AI-Ready Cloud Data Architect

Slalom; Austin (TX); Hybrid; USD 115,000 - 183,000; Full time

Benefits offered by this job

401(k) with employer match

Health, dental, vision coverage

Well-being reimbursement

Discretionary bonus potential

Job summary

Slalom is seeking a Data Architect to design and deliver scalable, cloud-native data platforms that enable analytics, AI, and GenAI solutions. You will partner with clients, engineers, and stakeholders to guide architecture decisions while staying connected to delivery.

You will lead architecture efforts across AWS, Azure, and GCP, working with platforms like Databricks and Snowflake. This role emphasizes mentoring, collaboration, and driving data strategy in a hybrid environment.

Qualifications

• 8+ years of experience in data engineering, data architecture, or related technical disciplines.
• Experience designing and implementing enterprise-scale cloud data platforms and modern data architectures.
• Strong understanding of data lakes, lakehouses, data warehouses, streaming architectures, and data governance concepts.
• Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and a desire to continue expanding your expertise across the broader cloud ecosystem.
• Experience leading architecture efforts from discovery through implementation while remaining 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 data platforms.
• Translate business objectives into scalable, secure, and maintainable data solutions.
• Lead architecture and technical design efforts from discovery through implementation.
• Partner with engineering teams to deliver modern data platforms across AWS, Azure, GCP, Databricks, Snowflake, and related technologies.
• Design and operationalize AI-ready data foundations that support analytics, machine learning, Generative AI, and agentic AI workloads.
• Apply AI-enabled engineering practices to improve quality, productivity, and delivery outcomes.
• Facilitate architecture workshops, technical discovery sessions, and stakeholder alignment.
• Mentor engineers and architects, helping grow technical capabilities and foster a culture of learning and innovation.
• Collaborate with Slalom's Data Engineering teams and platform Centers of Excellence to share best practices and advance delivery excellence.
• Support business development activities, including solution design, client conversations, and technical pre-sales efforts.

Skills

Data architecture

Cloud platforms

Python

SQL

Stakeholder management

Mentoring

Tools

AWS

Azure

GCP

Databricks

Snowflake

Job description

Slalom is seeking a Data Architect to design and deliver scalable, cloud-native data platforms that enable analytics, AI, and GenAI solutions. You will partner with clients, engineers, and stakeholders to guide architecture decisions while staying connected to delivery.

You will lead architecture efforts across AWS, Azure, and GCP, working with platforms like Databricks and Snowflake. This role emphasizes mentoring, collaboration, and driving data strategy in a hybrid environment.