Senior Databricks Architect
Qode View all jobs
Austin, United States of America
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 300KJob location
Austin, United States of America
Tech stack
Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Azure
Cloud Engineering
Data Architecture
Information Engineering
Data Governance
ETL
Dataspaces
Data Systems
Distributed Systems
Standard Sql
Data Streaming
Cloud Platform System
Spark
Data Lake
PySpark
Kafka
Data Management
Machine Learning Operations
Virtual Agents
Stream Processing
Data Pipelines
Databricks
Job description
We are seeking an experienced Senior Databricks Architect to design and deliver scalable, high-performance data platforms for our Financial Services clients. The ideal candidate will have deep expertise in Databricks, cloud data architectures, and modern data engineering practices, with a strong focus on building governed, secure, and efficient data ecosystems., * Architect and implement end-to-end data solutions using Databricks Lakehouse Platform
- Design and develop scalable data pipelines using PySpark, Spark, and SQL
- Lead cloud data platform implementations on AWS/Azure/GCP
- Drive modernization of legacy data systems to cloud-native architectures
- Implement Medallion Architecture (Bronze, Silver, Gold layers)
- Ensure data governance, security, and compliance (especially for Financial Services)
- Collaborate with business stakeholders, data scientists, and engineering teams
- Optimize performance, cost, and reliability of data pipelines
- Mentor and guide data engineering teams and provide architectural leadership, IPA Solution Architect - Microsoft Power Platform & Agentic AI Job Summary: We are seeking a Principal AI Technical Architect to lead the design and implementation of enterpris…
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Requirements
- 12+ years of experience in Data Engineering / Data Architecture
- Strong expertise in Databricks, PySpark, and the Spark ecosystem
- Hands-on experience with cloud platforms (Azure, AWS, or GCP)
- Experience with data orchestration tools (Airflow, ADF, etc.)
- Solid understanding of data modeling, ETL/ELT, and distributed systems
- Experience with Delta Lake and Unity Catalog is a plus
- Strong knowledge of the Financial Services domain (Banking, Insurance, Capital Markets)
- Excellent problem-solving and stakeholder management skills, * Databricks certifications
- Experience with real-time data processing (Kafka, streaming)
- Exposure to AI/ML pipelines and MLOps
- Knowledge of regulatory and compliance frameworks in Financial Services
About the company
SaidGig
+ Austin, TX
+ $300,000 per year
This role focuses on designing and evolving the security foundations of a fast-moving, AI-native organization. As a Senior Infrastructure Security Engineer, you will not only reduc…
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