Join us and lead data innovation at Riverflex 

Join our Riverflex Data & Analytics (D&A) team as an Associate Director of Data Engineering (DE)! 

We are expanding our team to fuel our strong growth in the D&A domain with a focus on building a next-gen (AI-driven) data engineering capability. In this pivotal role, you will play a key part in shaping and growing our DE team at Riverflex, while guiding our clients through their digital transformation journeys. 

The Opportunity 

As an Associate Director of Data Engineering, you won’t just join a team—you’ll build your own. This is your chance to design and lead a team that embodies your vision for innovation, excellence, and impact. You will be driving game-changing solutions being at the forefront of designing and delivering cutting-edge data solutions that unlock transformational opportunities for our clients, building and leading your dream team where you’ll have the autonomy to shape a team of junior and senior data engineers into a powerhouse of talent and innovation, being the trusted advisor partnering with clients to tackle critical challenges like data products, cloud migrations, and creating scalable platforms. Your strategic insights will make you indispensable, and inspiring as a thought leader sharing your expertise to position Riverflex as a leading name in data engineering, driving our reputation for excellence. 

This isn’t just a job—it’s your platform to innovate, inspire, and own the future of data engineering. Ready to make your mark? Let’s build something extraordinary together. 

Your Key Responsibilities 

• Lead end-to-end data engineering projects, from strategy to execution, ensuring quality, timeliness, and compliance. 

• Design scalable, real-time, cloud-native data platforms using tools like Azure, Databricks, Terraform, and Airflow. 

• Review and refine code, data structures, and solutions to deliver high-performance systems. 

• Develop and promote methodologies, accelerators, and best practices for our clients and team. 

• Build and nurture client relationships, acting as a trusted advisor and uncovering new business opportunities. 

• Mentor and inspire team members, creating a collaborative environment of autonomy and continuous learning. 

• Recruit, onboard, and mentor top-tier data engineering talent, growing the team’s capabilities.