Data Architect

Overview

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 Data Engineering discipline 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
• Machine Learning and Artificial Intelligence

As a Data Architect for Slalom, you will work in small, collaborative teams with minimal 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. 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.

• You will work in a hybrid environment, with expectation to be in-person with Slalom teams and clients as needed.
• You also must be within commutable distance to one of Slalom’s listed office locations.

As a Data Architect in the Data Engineering discipline, you will bring a broad experience in architecture design, a deep expertise in one or more data engineering technologies, 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 Big Query)
• Object Oriented Coding (Java, Python)
• No
  
  SQL Databases (Dynamo
  
  DB, Cosmos DB, Mongo
  
  DB)
• 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, Power
  
  BI)
• Modern Data Workflows (Apache Airflow, dbt, Dagster)

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…