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Databricks Architect

Hybrid in Austin, TX, US • Posted 5 hours ago • Updated 5 hours ago

Full Time

No Travel Required

Hybrid

$75/hr

Syntrux & Co

Fitment

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Job Details

Skills

Performance Tuning
Google Cloud Platform
IT Management
Machine Learning (ML)
Encryption
Good Clinical Practice
Google Cloud
Databricks
Development Testing
Documentation
Data Governance
Data Lake
Data Warehouse
Continuous Integration
Data Architecture
Data Engineering
Communication
Computer Networking
Continuous Delivery
Cloud Architecture
Cloud Computing
Cloud Storage
Artificial Intelligence
Business Intelligence
Microsoft Azure
Analytics
Apache Hive
Apache Spark
Authentication
Access Control
Technical Writing
Unity
Workflow
Stakeholder Management
Streaming
Terraform
Roadmaps
SQL
Scala
Scalability
Storage
Optimization
Presentations
Real-time
Amazon S3
Amazon Web Services
Migration
Python

Performance Tuning
Google Cloud Platform
IT Management
Machine Learning (ML)
Encryption
Good Clinical Practice
Google Cloud
Databricks
Development Testing
Documentation
Data Governance
Data Lake
Data Warehouse
Continuous Integration
Data Architecture
Data Engineering
Communication
Computer Networking
Continuous Delivery
Cloud Architecture
Cloud Computing
Cloud Storage
Artificial Intelligence
Business Intelligence
Microsoft Azure
Analytics
Apache Hive
Apache Spark
Authentication
Access Control
Technical Writing
Unity
Workflow
Stakeholder Management
Streaming
Terraform
Roadmaps
SQL
Scala
Scalability
Storage
Optimization
Presentations
Real-time
Amazon S3
Amazon Web Services
Migration
Python

Summary

Databricks Architect

We are seeking an experienced Databricks Architect to design and lead enterprise-scale data and AI solutions using the Databricks Data Intelligence Platform. The ideal candidate will have strong hands-on experience with Databricks, Lakehouse architecture, Spark, Delta Lake, Unity Catalog, cloud platforms, and modern data engineering.

Key Responsibilities

Design and implement enterprise Databricks Lakehouse architectures across development, test, and production environments.
Define architecture for data engineering, analytics, BI, ML, and AI workloads.
Architect solutions using Databricks, Delta Lake, Apache Spark, Unity Catalog, Databricks SQL, Workflows/Jobs, and Lakeflow.
Lead migration of legacy data platforms, data warehouses, and Hive Metastore environments to Databricks/Unity Catalog.
Design scalable batch and real-time/streaming data pipelines.
Establish data governance, security, access control, lineage, and data-sharing strategies.
Design cloud-native solutions across AWS, Azure, or Google Cloud Platform.
Implement Terraform/IaC and CI/CD deployment strategies.
Provide technical leadership for performance, scalability, reliability, and cost optimization.
Conduct architecture reviews and provide technical guidance to data engineering and development teams.
Work with business stakeholders to translate requirements into scalable technical solutions.
Create architecture diagrams, technical documentation, standards, and implementation roadmaps.

Required Qualifications

12+ years of experience in Data Engineering, Data Architecture, Cloud Architecture, or related fields.
5+ years of strong Databricks experience, including architecture and implementation.
Strong hands-on experience with:
- Databricks Lakehouse
- Apache Spark / PySpark
- Delta Lake
- Unity Catalog
- Databricks SQL
- Databricks Workflows / Jobs
- Delta Live Tables / Lakeflow
- Data governance and security
Strong understanding of Data Lake, Data Warehouse, and Lakehouse architectures.
Experience with enterprise-scale batch and streaming pipelines.
Strong Python and/or Scala programming skills.
Strong SQL development and performance-tuning experience.
Experience with at least one major cloud platform: AWS, Azure, or Google Cloud Platform.
Experience with cloud storage such as Amazon S3, Azure Data Lake Storage, or Google Cloud Storage.
Experience with Terraform/IaC and CI/CD.
Understanding of cloud networking, IAM, authentication, encryption, and security.
Excellent communication, presentation, documentation, and stakeholder-management skills.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91175621
Position Id: 9086309
Posted 5 hours ago

Company Info

About Syntrux & Co

At Syntrux AI, we are pioneering the future of intelligent automation by building AI-native agents that transform complex workflows into autonomous, outcome-driven systems. In an era where traditional automation and simple chatbots fall short, our technology leverages cutting-edge large language models, advanced reasoning engines, and adaptive task execution to create agents that think, plan, and act with purpose and precision.

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