Director - Data Engineering

12 hours ago

Denver, United States Slalom Full time

Who You'll Work With At Slalom Build we co-create modern technology and software products with clients who are ready to accelerate their digital transformation. We choose to imagine things made better, and then set out on a journey to realize what's possible. By blending design, product engineering, analytics, and automation, we build the custom-built software and data products of tomorro Slalom Build's Data Engineering capability 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 (e.g.., database systems, graph databases, key-value stores, document databases and transactional systems) Data visualization Machine learning and artificial intelligence We offer a flexible working environment to balance the need to work independently, with some days that may require in-person collaboration at our office. What You'll Do Slalom Build's Data Engineering capability 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 working with some of the most forward-thinking organizations in data and analytics. As a Director for Slalom Build, you will leverage your expertise and collaboration skills to work with like-minded leaders within Slalom and our client community to effectively apply Slalom's offerings and capabilities as well as alliance partners' platforms to provide advice, expertise, and skills that helps our clients create value, maximize growth, and/or improve business performance. You will lead engagements around the design and delivery of 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. This includes being accountable for leading teams in the analysis, architecture, design, and development of cloud data warehouse and analytics solutions including defining the cloud data strategy and multi-phased implementation roadmap for your clients. You will partner with your local market business development team on pre-sales activities, including meeting with prospective clients to discuss their needs, shaping those needs into a team-based delivery project, and helping estimate and plan the engagement. You will be expected to actively contribute to the cloud and big data community at Slalom and drive new capabilities forward. Travel may be required on a limited basis dependent on your client engagement or internal meetings/events. What You'll Bring As a Director in the Data Engineering capability, you will bring an entrepreneurial and progressive mindset to lead the growth and success of our practice. You are a 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 Slalom Build community. Your thirst for knowledge and passion for fearless experimentation in new and interesting ways to meet our clients' most pressing data challenges will inspire those around you. You are skilled at leading and growing direct reports. You will have an insatiable need to become the best at what you do, with a relentless drive to bring value to your customers as they implement data platforms, migrate data to cloud platforms, and leverage programming languages across a range of technologies including: Big Data Platforms (Apache Spark, Presto, Amazon EMR) Cloud Data Warehouses (Amazon Redshift, Snowflake, Google Big uery) 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 Build is a highly scalable, high-velocity Build as a Service firm. We work with clients in a flexible, collaborative, and repeatable methodology to create custom technology solutions for their most impactful initiatives and to accelerate their digital transformation journey. Over 1500 Builders strong, distributed across eleven dynamic cities, our innovation hubs attract the type of people who contribute to thriving teams. By placing builders in close proximity to clients - as well as their cultural and technology cohorts - we can assure the quality, versatility, and speed that product delivery demands, along with the elasticity and scale to tailor to individual client needs. Slalom Build leverages a foundation of innovation inherited from Slalom, a Seattle-based firm that set out in 2001 to disrupt and redefine management

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