This role requires 3 days working in office. 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) 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 a Lead Data Engineer for Slalom, you will work in teams with minimal oversight and direction to 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 related 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 work with a Solution Architect to help design and implement components of our clients’ data platform solution. You’ll also participate in design sessions, be experienced at breaking down complex development tasks, and be responsible for the timely and quality completion of development items assigned to you and the data engineers reporting to you. What You’ll Bring As a Lead Data Engineer in the Data Architecture & Engineering team, you will 5+ years of professional experience with at least 3 years of previous leadership experience. You are self-starter, effective in breaking down large problems into smaller ones, and eager to regularly share what you learn with others within your projects and in the broader Data community. You will have an insatiable need for becoming the best at what you do and have hands-on experience with data platforms and programming languages as you explore the range of technologies 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) Artificial Intelligence / Machine Learning (Amazon Sagemaker, Azure ML Studio) Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka) Visual Analytics (Tableau, PowerBI) For this position, experience with Airflow, Gitlab and Tableau are required. #J-18808-Ljbffr