Data Architect - Colombia Region

Slalom; Bogotá ciudad; Híbrido; COP 150.000.000 - 260.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Professional development

Descripción de la vacante

Slalom is a data architecture partner helping clients design scalable data ecosystems. As a Data Architect, you will guide architecture decisions, collaborate with stakeholders and engineers, and deliver AI-ready data foundations across cloud platforms.

You will lead data platform design, governance, and modernization efforts while mentoring teams and driving delivery excellence within Slalom’s hybrid work model.

Formación

• 8+ years of experience in data engineering, data architecture, or related technical disciplines.
• Experience designing and implementing enterprise-scale cloud data platforms and modern data architectures.
• Strong understanding of data lakes, lakehouses, data warehouses, streaming architectures, and data governance concepts.
• Hands-on experience with at least one major cloud platform and a desire to expand across the cloud ecosystem.
• Experience leading architecture efforts from discovery through implementation while engaging in delivery.

Responsabilidades

• Design and evolve cloud-native data architectures including data lakes, lakehouses, and data warehouses.
• Translate business objectives into scalable, secure data solutions.
• Lead architecture and technical design efforts from discovery through implementation.
• Partner with engineering teams to deliver data platforms across AWS, Azure, GCP, Databricks, and Snowflake.
• Mentor engineers and architects to grow capabilities and drive learning.

Conocimientos

Cloud data design

Data governance

Communication

Mentoring

Stakeholder mgmt

Herramientas

AWS

Azure

GCP

Databricks

Snowflake

Descripción del empleo

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 collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value.

At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

Job Title: Data Architect

Who You’ll Work With

Our Data Architecture & Engineering teams helps organizations modernize their data ecosystems and build the foundations required for analytics, machine learning, artificial intelligence, and Generative AI. We partner with clients to design scalable, secure, cloud-native data platforms that enable better decision-making, operational efficiency, and innovation.

Slalom maintains strategic partnerships and deep expertise across the leading cloud and data platforms, including AWS, Microsoft Azure, Google Cloud Platform (GCP), Databricks, and Snowflake. Our Data Engineering teams regularly work across multiple technologies, and we also have Centers of Excellence dedicated to each of these platforms. While expertise across all platforms is not required, your experience, interests, and strengths will help determine which team and opportunities are the best fit for you.

What You’ll Do

As a Data Architect, you will help clients design and deliver modern, scalable data platforms that enable analytics, AI, machine learning, and Generative AI solutions. Working closely with client stakeholders, engineers, and Slalom teams, you will guide architecture decisions while remaining connected to delivery and implementation.

You will:

• Design and evolve cloud-native data architectures, including data lakes, lakehouses, data warehouses, and real-time data platforms.
• Translate business objectives into scalable, secure, and maintainable data solutions.
• Lead architecture and technical design efforts from discovery through implementation.
• Partner with engineering teams to deliver modern data platforms across AWS, Azure, GCP, Databricks, Snowflake, and related technologies.
• Design and operationalize AI‑ready data foundations that support analytics, machine learning, Generative AI, and agentic AI workloads.
• Apply AI‑enabled engineering practices to improve quality, productivity, and delivery outcomes.
• Facilitate architecture workshops, technical discovery sessions, and stakeholder alignment.
• Mentor engineers and architects, helping grow technical capabilities and foster a culture of learning and innovation.
• Collaborate with Slalom’s Data Engineering teams and platform Centers of Excellence to share best practices and advance delivery excellence.
• Support business development activities, including solution design, client conversations, and technical pre‑sales efforts.

What You’ll Bring

You are a collaborative architect who enjoys solving complex business challenges through modern data and AI solutions. You combine strong technical expertise with the ability to communicate effectively across stakeholders, helping organizations transform data into business value.

Required Experience

• 8+ years of experience in data engineering, data architecture, or related technical disciplines.
• Experience designing and implementing enterprise‑scale cloud data platforms and modern data architectures.
• Strong understanding of data lakes, lakehouses, data warehouses, streaming architectures, and data governance concepts.
• Hands‑on experience with at least one major cloud platform (AWS, Azure, or GCP) and a desire to continue expanding your expertise across the broader cloud ecosystem.
• Experience leading architecture efforts from discovery through implementation while remaining engaged in delivery.
• Strong communication, consulting, and stakeholder management skills.
• Passion for mentoring others, continuous learning, and emerging technologies.

Technical Experience

We recognize that great architects develop expertise in different technology ecosystems. We do not expect candidates to have deep experience in every platform we support.

Experience in many of the following areas is preferred:

• Cloud platforms and modern data ecosystems, including AWS, Azure, GCP, Databricks, Snowflake, and related services.
• Data engineering and analytics technologies, including distributed processing, batch and streaming architectures, data integration, orchestration, and modern data platform design.
• Development and engineering practices using technologies such as Python, Java, SQL, APIs, CI/CD, Infrastructure as Code, and containers.
• Data management disciplines including data modeling, governance, metadata, quality, security, and platform operations.
• AI, machine learning, and Generative AI solutions, including AI‑enabled engineering practices, MLOps, retrieval‑augmented generation (RAG), vector technologies, and agentic AI architectures.
• Designing, building, and operationalizing data platforms that support analytics, AI, ML, and Generative AI workloads at enterprise scale.

Nice to Have

• Cloud, Databricks, Snowflake, or platform‑specific certifications.
• Experience with multi‑cloud environments and data platform modernization initiatives.
• Experience supporting AI transformation, data strategy, or technical pre‑sales activities.

Hybrid/In office

We are hybrid and there are expectations that if your team leader requires you onsite that you are able to meet those expectations/requirements

• COPNIA: Positions involving engineering activities in Colombia require a valid professional license issued by the Consejo Profesional Nacional de Ingeniería (COPNIA). Candidates selected for roles subject to this requirement must provide evidence of the professional license and maintain compliance throughout employment.

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.

• COPNIA: Positions involving engineering activities in Colombia require a valid professional license issued by the Consejo Profesional Nacional de Ingeniería (COPNIA). Candidates selected for roles subject to this requirement must provide evidence of the professional license and maintain compliance throughout employment.
• Working arrangements: At Slalom, we believe our best work happens through a combination of flexibility, autonomy, and meaningful in‑person collaboration. We operate in a hybrid work environment designed to support both individual productivity and team connection. All team members are expected to work from the office at least one day per week. Team members with direct reports and team members who are not currently staffed on a client engagement are expected to work from the office at least two days per week. Attendance expectations may be adjusted from time to time based on business needs and client requirements
• Accessibility Commitment:
  We are committed to fostering belonging and actively welcome applications from professionals with disabilities.
• Reasonable Accommodations:
  If you require any adjustments or assistive support to participate in our recruitment or assessment process, please let us know at the time of application. We are committed to providing an equitable and accessible experience.
• Disability Certification:
  As part of our compliance with applicable Colombian labor regulations, if applicable, candidates may be asked to provide a valid disability certificate issued by an authorized health entity (e.g., EPS, IPS, or other competent authority). Disclosure is voluntary and will be handled with appropriate confidentiality.