Data Architect - Cloud-Native Data Platform & AI Innovation

Slalom; Tampa (FL); On-site; USD 115,000 - 183,000; Full time

Benefits offered by this job

401(k) with match

Health, dental, and vision coverage

Paid holidays

Job summary

Slalom is seeking a Data Architect to work in collaborative teams delivering scalable data architectures across AWS, Azure, and Google Cloud. You will shape next‑gen data platforms for forward‑thinking organizations in data and analytics.

The role blends hands‑on data engineering with architectural leadership, focusing on production‑grade solutions and a strong client‑facing element. Compensation reflects seniority, with transparent pay ranges and benefits.

Qualifications

• Hands-on data engineer with production-grade data solutions.
• Experience in designing scalable data platforms and guiding technical decisions.
• Proficiency with modern cloud data ecosystems (AWS, Azure, or GCP) and data warehousing.
• Ability to translate business requirements into practical data architecture solutions.
• Exposure to AI-accelerated data engineering tools and methods.

Responsibilities

• Design and evolve data architectures for client environments with scalable, future-state solutions.
• Contribute to building, coding, and implementing data pipelines and platforms.
• Balance architectural ownership with hands-on engineering work.
• Collaborate with clients to translate requirements into concrete data solutions.
• Lead design discussions and support pre-sales or proposals when needed.
• Build data platforms on modern cloud data services.
• Focus on data engineering and architecture outcomes over BI tasks.
• Adapt engagements from engineering to deeper architectural ownership as needed.

Skills

Data engineering

Data architecture

Cloud data ecosystems

Python

Java

Client-facing

AI acceleration

Tools

Amazon Redshift

Snowflake

Google BigQuery

Azure Synapse Analytics

Amazon EMR

Job description

Slalom is seeking a Data Architect to work in collaborative teams delivering scalable data architectures across AWS, Azure, and Google Cloud. You will shape next‑gen data platforms for forward‑thinking organizations in data and analytics.

The role blends hands‑on data engineering with architectural leadership, focusing on production‑grade solutions and a strong client‑facing element. Compensation reflects seniority, with transparent pay ranges and benefits.