Role Overview:
You will be leading the data engineering strategy and delivery across global projects and products. You will be responsible for complex technical problems and identifying solutions with minimal guidance and support. Your role is to deliver technical authority, with influence across multiple squads, disciplines, and projects. You will closely work with domain engineering managers to implement the solutions for data products following the best technical practices.
What you do - Things you need for this role:
- Software Engineering – 6+ years of professional software development experience in data engineering.
- Demonstrable experience working with Databricks, PySpark, Python, SQL, Delta Lake
- Data Quality – Spearhead initiatives to elevate data quality across all data products, implementing robust validation processes, data cleansing methodologies, and quality assurance frameworks to ensure the delivery of accurate, consistent, and reliable data assets throughout the organization.
- Demonstrable experience in designing scalable cloud data architectures (preferrable Azure), particularly with data lake technology and event driven architecture.
- Technology - Drive the strategic selection and implementation of cutting-edge data engineering technologies, frameworks, and methodologies. Evaluate and recommend appropriate tools and languages to optimize data processing, storage, and analysis. Guide the data community in adopting industry best practices for internal tool development.
- Performance Optimization: Extensive and evidenced experience in designing and implementing high-performance data pipelines, optimizing query execution, and fine-tuning data systems to ensure scalability and efficiency in large-scale data environments.
- Mentorship and Team Development: Proven track record of nurturing talent, providing technical mentorship, and fostering a culture of continuous learning and innovation within data engineering teams.
- Demonstrated ability to bridge the gap between technical solutions and business needs, translating complex data concepts into actionable insights and aligning data engineering initiatives with key business objectives and strategies
- Exceptional ability to collaborate across diverse teams, manage expectations, and effectively communicate complex technical concepts to both technical and non-technical stakeholders, ensuring alignment and buy-in for data engineering initiatives.
How you do it – Expectations for fulfilling your role:
As a general rule at KingMakers we want people to be:
- Customer Focus: We keep the customer at the center of everything we do.
- Passion & Dedication: We are passionate about what we do, employing only smart, honest, dedicated, and results oriented team players.
- Openness, Honesty & Directness: We embrace a culture of candor and work together towards the right solution whilst being open, honest, and willing to give and receive feedback, judgment-free. We play the ball, not the person.
- Innovation & Big Thinking: We always look for ways to innovate whilst not losing sight of what's important. The bigger we think, the more we inspire, the better the outcome.
- Ownership & Accountability: We think like owners. If we see a problem, we find a solution. We are pragmatic and always strive to do more with less.
- Speed & Focus: We plan, we strategize, but mostly, we DO. Without doing, there is no progress, we can always change direction but only if we start moving. Fast beats slow.
- Low Ego: The best solutions are achieved when we leave our egos at the door. We always seek opportunities to learn in every situation. No job too small.
- Fun: On balance, we believe in having fun whilst working. We maintain perspective as best as we can, and together, we celebrate our successes.
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