Data Architect: Cloud & AI Data Platforms

Slalom; Hartford (CT); On-site; USD 115,000 - 183,000; Full time

Benefits offered by this job

401(k) with match

Health, dental, and vision coverage

Paid time off and holidays

Job summary

Slalom is seeking a Data Architect to join its Data Architecture & Engineering team. You will work in collaborative teams to deliver innovative, scalable data solutions across AWS, Azure, and GCP, shaping the next generation of data platforms for forward-thinking organizations in data and analytics.

Your day-to-day includes designing data architectures, contributing to data pipelines, guiding technical direction, and collaborating with clients to translate business requirements into practical

Qualifications

• Experience as hands-on data engineer delivering production-grade data solutions.
• Ability to design scalable data platforms and guide technical decisions from design to implementation.
• Proficiency with modern cloud data ecosystems (AWS/Azure/GCP) and data warehousing/processing technologies.
• Strong client-facing skills translating business needs into practical data architecture.

Responsibilities

• Design and evolve data architectures for client environments with scalable, future-state solutions.
• Hands-on data engineering delivery, building and implementing data pipelines and platforms with the team.
• Balance architectural ownership with execution, guiding technical direction while coding.
• Collaborate with clients to translate requirements into effective data engineering solutions.
• Lead and contribute to solution design and technical discovery, including pre-sales support where applicable.

Skills

Hands-on data engineer

Data architecture

Cloud data ecosystems

Client-facing

AI-accelerated data engineering

Architectural leadership

Python

Java

Tools

AWS

Azure

GCP

Snowflake

Redshift

Databricks

Kinesis

Kafka

Job description

Slalom is seeking a Data Architect to join its Data Architecture & Engineering team. You will work in collaborative teams to deliver innovative, scalable data solutions across AWS, Azure, and GCP, shaping the next generation of data platforms for forward-thinking organizations in data and analytics.

Your day-to-day includes designing data architectures, contributing to data pipelines, guiding technical direction, and collaborating with clients to translate business requirements into practical