Senior Cloud Data Architect — AI‑Driven Platforms

Slalom; Baltimore (MD); On-site; USD 115,000 - 183,000; Full time

Benefits offered by this job

401(k) with match

Health, dental, and vision coverage

Parental leave

Annual well-being reimbursement

Discounted insurance (home/auto/pet)

Job summary

Slalom is seeking a Data Architect to join collaborative teams delivering scalable data platforms across AWS, Azure, and Google Cloud. You will shape data architectures, lead engineering delivery, and partner with clients to translate requirements into concrete data solutions.

You’ll balance hands-on data engineering with architectural ownership, mentor engineers, and apply AI-enhanced practices to improve speed and quality. Expect senior-level compensation and growth.

Qualifications

• Hands-on data engineering and production-grade data solutions.
• Experience designing scalable data platforms for clients.
• Familiar with cloud data ecosystems (AWS/Azure/GCP).
• Ability to translate business needs into practical data architecture.
• Balance leadership with active engineering work.

Responsibilities

• Design and evolve data architectures for client environments.
• Contribute to building and implementing data pipelines and platforms.
• Guide technical direction while participating in engineering work.
• Collaborate with clients to translate requirements into solutions.
• Lead design conversations and support pre-sales when appropriate.

Skills

Hands-on data engineering

Data architecture

Cloud data ecosystems

Client-facing collaboration

Architectural leadership

AI-accelerated data engineering

Engineering delivery

Pre-sales/solution discovery

Mentoring

Strong communication

Education

Bachelor's degree or equivalent

Tools

Amazon Redshift

Snowflake

Google BigQuery

Azure Synapse Analytics

Amazon EMR

Apache Spark

Presto

Databricks

Amazon Kinesis

Apache Kafka

Python

Java

Job description

Slalom is seeking a Data Architect to join collaborative teams delivering scalable data platforms across AWS, Azure, and Google Cloud. You will shape data architectures, lead engineering delivery, and partner with clients to translate requirements into concrete data solutions.

You’ll balance hands-on data engineering with architectural ownership, mentor engineers, and apply AI-enhanced practices to improve speed and quality. Expect senior-level compensation and growth.