Job Title: Data & Databricks Practice LeadLocation: Remote
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.
We are looking for a dynamic and visionary Practice Lead to build and scale our Data & AI capabilities with a strong focus on Databricks, Apache Spark, Iceberg, Azure Data Fabric, Amazon EMR, and Redshift. This role is pivotal in driving Lakehouse architecture adoption, cloud-native modernization, and ML engineering across industries such as Oil & Gas, Medtech, Retail CPG, and Fintech.You will lead a cross-functional team of architects, engineers, and ML specialists to deliver high-impact solutions that combine technical excellence, cost efficiency, and governance maturity. Key ResponsibilitiesStrategic Leadership & Practice Growth• Define and execute the strategic roadmap for the Data & AI practice, aligning with evolving trends in Lakehouse, cloud-native platforms, and AI engineering.• Build reusable solution accelerators (e.g., Iceberg ingestion templates, Spark ETL frameworks, MLflow pipelines).• Establish and manage strategic partnerships with Databricks, AWS, Azure, and other ecosystem players.• Represent the practice in industry forums, client workshops, and thought leadership initiatives.Technical Architecture & Delivery Oversight• Architect scalable Lakehouse solutions using Delta Lake or Iceberg, optimized for performance and cost.• Lead the design of unified batch + streaming pipelines using Spark Structured Streaming and Scala.• Oversee multi-cloud data platform modernization using Azure Data Fabric, EMR, and Redshift.• Guide implementation of data governance frameworks using Unity Catalog, Azure Purview, and Iceberg metadata.Team Leadership & Capability Building• Mentor and grow a high-performing team of data engineers, ML engineers, and platform specialists.• Define career paths, training plans, and certification goals aligned with Databricks, AWS, and Azure.• Foster a culture of innovation, experimentation, and continuous improvement.Client Engagement & Business Impact• Engage with clients to understand business challenges and translate them into scalable data solutions.• Lead solutioning, proposal development, and delivery for strategic engagements.• Ensure delivery excellence through performance optimization (Photon, EMR Autoscaling) and cost engineering. Required Skills & Experience• 10+ years of experience in data engineering, architecture, and platform modernization.• 3+ years of hands-on experience with Databricks, Apache Spark, Iceberg, and Scala.• Deep expertise in cloud-native data platforms (Azure Data Fabric, Amazon EMR, Redshift).• Proven track record in building ML pipelines, implementing MLOps (MLflow), and integrating Redshift ML.• Strong understanding of data governance, observability, and schema evolution.• Excellent leadership, communication, and stakeholder management skills. Preferred Qualifications• Certifications in Databricks, Azure Data Engineering, or AWS Big Data.• Experience in vertical-specific data solutions (e.g., predictive maintenance in Oil & Gas, real-time analytics in Retail).• Familiarity with data mesh architectures, time travel, and audit compliance frameworks. Why Join Us?• Be at the forefront of Lakehouse innovation and AI-driven transformation.• Work with cutting-edge technologies and shape the future of data platforms.• Lead a high-impact practice with global reach and industry relevance.
At Codvo.ai, we specialize in leveraging artificial intelligence, cloud, and data to solve complex business problems and drive innovation. Our passion for innovation drives us to deliver solutions that not only meet but exceed your unique business needs, fostering smarter, more productive teams. Here’s why our approach has earned widespread acclaim from our clients:
67 Customer NPS: Our Net Promoter Score is a testament to the high level of satisfaction and loyalty among our clients. It underscores our ability to deliver quality and value through our specialized services, making us a preferred partner for businesses looking to leverage AI and data for competitive advantage.
78 Employee NPS: The satisfaction and engagement of our team directly influence the quality of service we provide. Our high employee NPS signifies a motivated, dedicated team that's committed to excellence. This positive work culture ensures that we can deliver exceptional AI-first engineering and enterprise data application services to you.
Our approach goes beyond traditional software development; we're dedicated to partnering with you to harness the power of AI and data. The combination of our high trial and engagement success rates, extensive experience, and positive feedback from both clients and employees positions us as more than just a service provider. We're your trusted ally in navigating the complexities of today's digital landscape, committed to transforming your vision into a reality with cutting-edge AI and data solutions.
