Lead Data Architect — AI-Driven Cloud Platforms

Slalom Build; Mexico; Hybrid; PHP 7,402,837 - 11,104,255; Full time

Job summary

Slalom Build is seeking a Data Architect to design scalable data architectures across AWS, Azure, and Google Cloud. The role blends hands-on data engineering with architectural leadership to deliver modern cloud data platforms for forward-thinking clients.

You will stay ahead of AI-enabled data engineering trends, contribute to solution design, and mentor junior team members while working closely with clients to translate business needs into robust data solutions.

Qualifications

• Hands-on data engineer with production delivery experience.
• Experience designing scalable data platforms and guiding decisions from design to implementation.
• Proficient with modern cloud data ecosystems (AWS/Azure/GCP) and data warehousing.
• Ability to work with clients, translate requirements into practical data solutions.
• Experience balancing leadership with hands-on execution in delivery teams.
• Exposure to AI-accelerated data engineering and AI-enabled tooling.
• Willingness to start engagements in an engineering capacity and grow ownership.
• Cloud platforms and warehouses: Redshift, Snowflake, BigQuery, Synapse, EMR.
• Big data & streaming: Spark, Presto, Databricks, Kinesis, Kafka.
• Languages: Python, Java (OO).
• Lead and mentor Data Architects and Data Engineers.
• Strong communication across engineers, architects, and clients.

Responsibilities

• Design and evolve data architectures for client environments by assessing current-state systems and defining scalable, future-state solutions
• Remain hands-on with data engineering delivery, contributing directly to building, coding, and implementing data pipelines and platforms alongside the team
• Balance architectural ownership with execution, guiding technical direction while actively participating in day-to-day engineering work
• Collaborate closely with clients to understand requirements, constraints, and technical environments, translating business needs into effective data engineering and architecture solutions
• Lead and contribute to solution design and technical discovery, including early-stage conversations and, where applicable, pre-sales or proposal support
• Build and design solutions on modern cloud data platforms, working with cloud providers, data warehousing technologies, and distributed processing frameworks
• Focus on data engineering and data architecture outcomes, with minimal emphasis on BI or data visualization work
• Apply and explore AI-accelerated data engineering approaches, including use of generative or AI-enabled tools to improve speed, quality, and scalability
• Adapt to project needs by starting engagements in an engineering capacity and evolving into deeper architectural ownership as project needs mature

Skills

Hands-on data engineer

Data architecture

Cloud data ecosystems

Client-facing

Architectural leadership

AI-accelerated data engineering

Engineering capacity start

Python

Java

Mentor and develop

Strong communication

Job description

Slalom Build is seeking a Data Architect to design scalable data architectures across AWS, Azure, and Google Cloud. The role blends hands-on data engineering with architectural leadership to deliver modern cloud data platforms for forward-thinking clients.

You will stay ahead of AI-enabled data engineering trends, contribute to solution design, and mentor junior team members while working closely with clients to translate business needs into robust data solutions.