Data & Databricks Practice Lead (India - Remote) jobs in United States
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Codvo.ai ยท 2 months ago

Data & Databricks Practice Lead (India - Remote)

Codvo.ai is committed to building scalable, future-ready data platforms that power business impact. They are looking for a dynamic and visionary Practice Lead to build and scale their Data & AI capabilities with a strong focus on Databricks and Lakehouse architecture adoption.

Information Technology
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

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
Define career paths, training plans, and certification goals aligned with Databricks, AWS, and Azure
Foster a culture of innovation, experimentation, and continuous improvement
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

Qualification

DatabricksApache SparkCloud-native platformsML pipelinesData governanceScalaAzure Data FabricAmazon EMRRedshiftStakeholder managementMLOpsData mesh architecturesLeadershipCommunication

Required

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

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

Company

Codvo.ai

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At Codvo.ai, we specialize in leveraging artificial intelligence, cloud, and data to solve complex business problems and drive innovation.

H1B Sponsorship

Codvo.ai has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2022 (3)

Funding

Current Stage
Growth Stage

Leadership Team

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Amit Verma
Managing Partner
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Harish Vajja
Managing Partner
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Company data provided by crunchbase