Architect - Data Engineering (Medellin)

**Who You’ll Work With**

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, compelled by its potential as we help create the digital products, experiences, and technology-driven organizations that drive true change. We’re thrilled by the opportunity to build the future we want to see, with anyone willing to join us.

Slalom's Data Architecture & Engineering team is focused on injecting intelligence into products, engineering systems that support learning and insight and creating innovative data products. Within Data Engineering we help customers build world-class products through effective use of:

- Data Engineering consisting of streaming / real-time data solutions, modern data platforms and data systems within products (i.e., database systems, graph databases, key-value stores, document databases and transactional systems)
- Data Visualization
- Machine Learning and Artificial Intelligence

**What You’ll Do**

Slalom's Data Architecture & Engineering team is comprised of passionate, flexible technologists who love to practice and hone their craft. As tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery.

As an Architect for Slalom, you will work in small, collaborative teams with mínimal oversight and direction to design and deliver innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies. In addition to building the next generation of data platforms, you will be working with some of the most forward-thinking organizations in data and analytics.

You will typically be responsible for understanding the client’s current environment and technical challenges as well as their plans for evolving or creating their future state architecture. Using that knowledge, your personal experiences, architecture expertise, and your ability to facilitate working design sessions with Slalom and client technical teams, you will lead the analysis, architecture, design, and development of your client’s next generation Data Platform Solution.

You will leverage your communication skills to effectively describe the pros and cons of your solution design and drive the combined Slalom and client team to consensus. You are experienced at breaking down complex development tasks and will be responsible for the timely quality completion of development items, ensuring that they support the Technical Solution you designed.

As time allows, you will participate in pre-sales activities including helping define an approach to solving a prospect’s technical challenges and helping the business development team estimate and plan projects to address those challenges.

**What You’ll Bring**

As an Architect in the Data Architecture & Engineering team, you will bring a broad experience in architecture design, a deep expertise in one or more data engineering technologies (listed below), a curious mindset to your client’s engagement, a thirst for knowledge, and a hunger for fearless experimentation in new and interesting ways to meet our clients’ most pressing data challenges. You are a self-starter, effective in breaking down large problems into smaller ones, and regularly share what you learn with others within your projects and in the broader Slalom Build community.

You will have an insatiable need to become the best at what you do and will have many opportunities to gain hands-on experience with new data platforms and programming languages as you explore a range of technologies that we help our clients with, including:

- Big Data Platforms (Apache Spark, Presto, Amazon EMR)
- Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery)
- Object Oriented Coding (Java, Python)
- NoSQL Databases (DynamoDB, Cosmos DB, MongoDB)
- Container Management Systems (Kubernetes, Amazon ECS)
- Artificial Intelligence / Machine Learning (Amazon Sagemaker, Azure ML Studio)
- Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka)
- Visual Analytics (Tableau, PowerBI)
- Modern Data Workflows (Apache Airflow, dbt, Dagster)

**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 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.