Director - Data Engineering

About the Role 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 organisations 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. What You'll Do

• Lead engagements around the design and delivery of innovative solutions on AWS, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies.
• Be 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 clients.
• Partner with local market business development on pre-sales activities: meeting prospective clients, shaping needs into a team-based delivery project, and helping estimate and plan engagements.
• Actively contribute to the cloud and big data community at Slalom and drive new capabilities forward. What We're Looking For
• Entrepreneurial and progressive mindset to lead growth and success of the Data Engineering practice; strong leadership of direct reports.
• Self-starter with ability to break down large problems, share learnings, and continuously learn; fearless experimentation.
• Relentless drive to bring value as clients implement data platforms, migrate data to cloud, and leverage programming languages across technologies.
• Proficiency with a range of technologies including: Apache Spark, Presto, Amazon EMR; Amazon Redshift, Snowflake, Google BigQuery; Java, Python; DynamoDB, Cosmos DB, MongoDB; Kubernetes, Amazon ECS; Amazon Sagemaker, Azure ML Studio; Amazon Kinesis, Apache Kafka; Tableau, PowerBI; Apache Airflow, dbt, Dagster.
• Experience leading and growing teams and managing client engagements in data engineering data platforms and cloud migrations. Nice to Have Compensation & Benefits
• We emphasize work-life balance and offer benefits that include holistic wellbeing, meaningful allowances, and investment in our team’s professional, technical, and personal growth. We are an equal opportunity employer and celebrate diversity across our workforce.