Data Bricks Solution ArchitectDatabricks ArchitectData Architect

Job Title: Data Bricks Solution Architect/Databricks Architect/Data Architect

Duration: Contract 6 Months

Location: Local to Dallas and at client site 3 days/work

Skills:

Role Summary

We are looking for a highly skilled Databricks Solution Architect to lead the design and implementation of scalable enterprise-grade data platforms using Databricks. The ideal candidate will combine strong technical expertise in data engineering and cloud platforms (AWS/Azure/GCP) with architectural leadership solution design capability and strong stakeholder engagement skills.

Key Responsibilities

1. Solution Architecture & Design

Design end-to-end data architectures using Databricks Lakehouse Platform.

Architect scalable ETL/ELT pipelines real-time streaming solutions and advanced analytics platforms.

Define data models storage strategies and integration patterns aligned with business and enterprise architecture standards.

Provide guidance on cluster configuration performance optimization cost management and workspace governance.

2. Technical Leadership

Lead technical discussions and design workshops with engineering teams and business stakeholders.

Provide best practices frameworks and reusable component designs for consistent delivery.

Perform code reviews and provide technical mentoring to data engineers and developers.

3. Stakeholder & Project Engagement

Collaborate with product owners business leaders and analytics teams to translate business requirements into scalable technical solutions.

Create and present solution proposals architectural diagrams and implementation strategies.

Support pre-sales or discovery phases with technical input when needed.

4. Data Governance Security & Compliance

Define and implement governance standards across Databricks workspaces (data lineage cataloging access control etc.).

Ensure compliance with regulatory and organizational security frameworks.

Implement best practices for monitoring auditing and data quality management.

5. Continuous Improvement & Innovation

Stay updated on Databricks features roadmap and industry trends.

Recommend improvements optimizations and modernization opportunities across the data ecosystem.

Evaluate integration of complementary technologies (Delta Live Tables MLflow Unity Catalog streaming frameworks etc.).

Required Skills & Experience

Technical Skills

Databricks Expertise: Strong hands-on experience with Databricks (clusters notebooks Delta Lake MLflow Unity Catalog).

Cloud Platforms: Experience with at least one cloud provider (AWS Azure GCP).

Data Engineering: Strong proficiency in Spark Python SQL and distributed data processing.

Architecture: Experience designing large-scale data solutions including ingestion transformation storage and analytics.

Streaming: Experience with streaming technologies (Structured Streaming Kafka Kinesis EventHub).

DevOps: CI/CD practices for data pipelines (Azure DevOps GitHub Actions Jenkins etc.).

Soft Skills

Strong communication skills with the ability to engage both technical and business teams.

Experience working in Agile environments.

Ability to simplify complex technical concepts for non-technical audiences.

Strong analytical problem-solving and decision-making abilities.

Preferred Qualifications

Databricks Certified Data Engineer Professional / Architect certification.

AWS/Azure/GCP cloud architect certifications.

Experience with BI tools (Tableau Power BI Looker).

Experience in machine learning workflows and ML operations.

Background in large-scale data modernization or cloud migration projects.

Why Join Us

Opportunity to lead high-impact data initiatives using cutting-edge Databricks capabilities.

Work with a highly skilled team of engineers architects and analytics professionals.

Professional growth opportunities including certifications and advanced architecture training.

Collaborative environment that values innovation and continuous improvement.

Keywords: AWS Azure Devops GCP Data Bricks Spark Kafka Python SQL