Senior Data Developer

• Build and evolve the Databricks-based data platform used for product features, machine learning, and internal reporting
• Design and develop reliable and scalable data ingestion and transformation pipelines
• Model raw data into clean, reliable datasets powering product features and internal analytics
• Build platform abstractions and tooling improving developer experience for data producers and consumers
• Improve observability, testing, and monitoring for reliability and performance
• Manage and contribute to data governance, security, compliance, and access controls
• Contribute to platform standards and architecture as the data platform scales
• Collaborate with software development, machine learning, product, and analytics teams to support data use cases

Requirements

• 6+ years of experience as a data developer in a modern, production-grade cloud data platform (Databricks or similar equivalent)
• Experience operating under ambiguity and making technical tradeoffs that balance velocity and value delivery with maintainability and technical debt
• Strong Python and SQL skills
• Experience with CDC pipelines
• Experience managing cloud infrastructure with Terraform (or similar infrastructure-management equivalent)
• Experience building CI/CD workflows using DABs and GitHub Actions (or similar)
• Experience in query optimization, resource allocation and management, cost management, and data lake performance
• Experience working in a fast-paced, agile environment
• Expert level of English, both spoken and written, required
• Knowledge of compliance and regulatory frameworks (e.g., GDPR, CCPA, SOC2, FedRAMP) considered for extra consideration
• Experience with event-streaming with Kafka and Flink (or similar data-streaming architectures) considered for extra consideration
• Backend software development experience, including application data storage and event-driven architecture considered for extra consideration
• Experience building and operating vector databases and RAG considered for extra consideration

Core Competencies

Demonstrates expertise in building and evolving Databricks-based data platforms, focusing on data ingestion, transformation, and governance. Proficient in Python, SQL, and managing cloud infrastructure, with a strong emphasis on compliance and performance optimization.

Highest-signal resume keywords

• Databricks Data Platform Development
• Python Programming
• SQL Proficiency
• Cloud Infrastructure Management
• CI/CD Workflow Development

ATS Optimization Keywords

Hard Skills

• Data Ingestion Pipelines
• Data Transformation
• Query Optimization
• Event-Streaming with Kafka
• CDC Pipelines
• Data Lake Performance
• Vector Databases
• Event-Driven Architecture
• Terraform
• GitHub Actions

Soft Skills

• Collaboration
• Problem-Solving
• Adaptability

Industry Keywords

• Data Governance
• Compliance
• GDPR
• CCPA
• SOC2
• FedRAMP
• Agile Environment

Tools & Technologies

• Databricks
• Terraform
• GitHub Actions
• Kafka
• Flink