Data & Databricks Practice Lead

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🕒 June 24

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Codvo.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🤖 Artificial Intelligence

🔒 Cybersecurity

☁️ SaaS

Artificial Intelligence • Cybersecurity • SaaS

Codvo. ai is a technology company that specializes in delivering strategic enterprise solutions through advanced AI-driven innovation. They focus on transforming enterprise data into measurable value by helping businesses accelerate growth with custom AI implementations tailored to meet the specific challenges of various industries. Their extensive service offerings include AI/ML automation, application development, data analytics, cybersecurity, and digital transformation, ensuring that organizations can thrive in a rapidly evolving digital landscape.

📋 Description

• 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. • 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. • Mentor and grow a high-performing team of data engineers, ML engineers, and platform specialists. • Engage with clients to understand business challenges and translate them into scalable data solutions.

🎯 Requirements

• 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.

🏖️ Benefits

• 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.