Data Architect

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. Role - Data Architect 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 (i.e., database systems, graph databases, key-value stores, document databases, and transactional systems) Machine Learning and Artificial Intelligence What You’ll Do 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 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 work in a hybrid environment, with an 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. What You’ll Bring 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. 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. Compensation And Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. Slalom is committed to fair and equitable compensation practices. For this position, we're targeting to hire at the Sr. Consultant or Principal level, and the base salary pay range is $125,500 to $172,000 dependent on experience. EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing, and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws.

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