Data Solutions Lead

We are: Accenture Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists and experts in machine learning and AI. A great day for us Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything-spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Read on to learn more about this role and who we are looking for. You are: A hands-on data consulting leader, a Solutions Architect who knows how to develop, design, and maintain cloud-based data platforms on AWS, Azure or Google Cloud. Your expertise lies in orchestrating complex ETL processes, building robust data warehouses, and driving the adoption of modern data technologies. You are a next-generation thinker, a proactive problem solver and trusted advisor to clients, when it comes to what we call Data in the New. You thrive in guiding teams to transform intricate data challenges into scalable, efficient, and secure solutions that propel business success. Your exceptional communication skills enable you to bridge the gap between technical teams and business stakeholders, ensuring that projects are delivered on time, within scope, and with the highest quality. What You’ll Do: Lead the Technology Solution, Architecture and Delivery of large and/or complex full lifecycle data applications across cloud, hybrid and on-prem landscapes Design and build robust data pipelines using scalable tools and techniques (yes, we’re talking big data) to produce high quality data structures Design data solutions, architect data transformation projects, develop solution blueprints and data modernization/migration plans, document, and present recommendations to clients and/or stakeholders. Implement quicker data processing methods and integrate complex business logic compatible with daily or real-time/streaming frameworks Increase automation and scaling of complex data sets based on the customer’s analytic use case, such as structured data delivery for business analysis, daily extraction of mission enabling data for data mining/exploration, and transforming data for applied intelligence to power impactful data visualizations Drive business and proactive development activities like proposal responses, recruitment, etc.