Data Architect - Mexico

Slalom Build; Mexico; On-site; PHP 7,348,438 - 11,022,658; Full time

Job summary

Slalom is hiring a Data Architect to join our Data Architecture & Engineering team. You will co-create scalable data solutions across AWS, Azure, and Google Cloud Platform, shaping next-generation data platforms for forward-thinking clients.

You’ll lead data architecture design, stay hands-on with data engineering, and collaborate with clients to translate requirements into effective data pipelines and architectures. This role emphasizes AI-accelerated approaches and leadership in delivery.

Qualifications

• Hands-on data engineer with production-grade data solutions.
• Strong data architecture experience across current environments.
• Experience with modern cloud data ecosystems (AWS, Azure, GCP).
• Comfortable in client-facing settings and translating requirements.
• Proven architectural leadership with delivery involvement.
• Exposure to AI-accelerated data engineering practices.
• Experience building data pipelines and platforms.
• Focus on data platforms, pipelines, and architecture over BI.
• Excellent communication across teams and stakeholders.

Responsibilities

• Design and evolve data architectures for client environments with scalable solutions.
• Contribute hands-on to building data pipelines and platforms.
• Balance architectural ownership with active engineering execution.
• Translate business needs into data engineering and architecture solutions.
• Lead solution design and early discovery, including pre-sales support where applicable.
• Build on modern cloud data platforms with AWS/Azure/GCP.
• Focus on data engineering outcomes with reduced emphasis on BI.
• Explore AI-enabled data engineering approaches to improve speed and quality.
• Start engagements in an engineering capacity and grow into arch ownership.

Skills

Hands-on data engineer

Data architecture

Cloud data ecosystems

Client-facing

Architectural leadership

AI-accelerated data engineering

Data pipelines

Data platforms

Communication skills

Tools

—

Job description

At Slalom, we co-create custom software, data, and cloud products with clients who are ready to accelerate their digital transformation. We’re passionate about technology and compelled by its potential — building digital products, experiences, and technology-driven organizations that drive true change.

Our Data Architecture & Engineering team sees data as the foundation for decision-making, artificial intelligence, and transformation. We embrace AI to scale with quality, innovate without fear, and use technology with purpose to unlock the full potential of data and create lasting impact.

We demonstrate every day that talent, creativity, and technical excellence have no borders by delivering world-class solutions that inspire people to dream big and move faster.

What You’ll Do

As a Data Architect at Slalom, you will work in collaborative teams to deliver innovative, scalable solutions across Amazon Web Services, Microsoft Azure, and Google Cloud Platform technologies. You’ll stay ahead of emerging technologies and help shape the next generation of data platforms for some of the most forward-thinking organizations in data and analytics.

Your day-to-day will include:

• 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 the use of generative or AI‑enabled tools to improve speed, quality, and scalability of engineering and architecture tasks
• Adapt to project needs by starting engagements in an engineering capacity and progressively taking on deeper architectural ownership as solutions and teams mature

What You’ll Bring

• Strong experience as a hands‑on data engineer, with the ability to design, build, and maintain production‑grade data solutions while contributing directly to delivery
• Demonstrated experience in data architecture, including assessing existing client environments, designing scalable data platforms, and guiding technical decisions from design through implementation
• Experience working with modern cloud data ecosystems, including at least one major cloud provider (AWS, Azure, or GCP), and familiarity with data warehousing and distributed data processing technologies
• Ability to operate comfortably in client‑facing environments, translating business and technical requirements into clear, practical data architecture and engineering solutions
• Experience balancing architectural leadership with execution, remaining actively involved in engineering work rather than operating as a purely conceptual or oversight role
• Exposure to AI‑accelerated data engineering, including the use of generative or AI‑enabled tools to improve the speed, quality, and effectiveness of data architecture and engineering tasks
• Understanding of data engineering best practices with reduced emphasis on BI, reporting, or visualization, and a primary focus on data platforms, pipelines, and architecture
• Flexibility to start engagements in an engineering capacity and evolve into deeper architectural ownership as project needs and solution maturity require
• Strong communication skills, with the ability to collaborate effectively with engineers, architects, and client stakeholders across discovery, delivery, and solution design phases

About Us

Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact.

What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.

If you're using NVDA, press NVDA key + space to enable focus mode to read the slider properly.