Databricks Architect/Lead

Overview

Remote
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Apache Kafka
Amazon Kinesis
Amazon Web Services
Data Processing
Databricks
Data Masking
PySpark
Streaming

Job Details

Position: Databricks Lead/Architecture
Location: Remote
Duration: Long Term


Architecture & Design
Define and design end-to-end data Lakehouse architecture leveraging Databricks, Delta Lake, and cloud-native services.
Create reference architectures for batch, real-time, and streaming data pipelines.
Architect data ingestion, curation, storage, and governance frameworks.
Ensure the platform is scalable, secure, and optimized for performance and cost.
Establish standards for data lineage, metadata management, and compliance.
Work with enterprise architects to align Databricks solutions with overall cloud strategy (AWS).
Leadership & Delivery
Lead and mentor a team of data engineers in building robust data pipelines.
Collaborate with data scientists, BI teams, and business stakeholders to enable advanced analytics and AI/ML use cases.
Drive adoption of DevOps and CI/CD practices for data engineering.
Review designs and solutions to ensure adherence to architectural principles.
Implementation & Optimization
Build, optimize, and manage large-scale PySpark/SQL pipelines in Databricks.
Enable real-time data processing through Kafka, Kinesis, or Event Hubs.
Implement security best practices including RBAC, data masking, and encryption.

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