Overview

As a Databricks Solution Architect, you will be responsible for designing and implementing modern, scalable data solutions that enable advanced analytics, reporting, and operational efficiency. You will lead the architecture, development, and migration of data platforms, ensuring seamless integration with existing systems and alignment with organizational data strategies

The Work:

This role requires close collaboration with cross-functional teams to translate business requirements into actionable technical designs, as well as oversight across configuration, development, testing, deployment, and optimization of Databricks environments. You will establish and enforce best practices in data engineering, governance, quality, security, and metadata management across all stages of the data lifecycle.

Responsibilities

• Lead the architecture and implementation of scalable data solutions using Databricks, including Delta Lake, SQL, Lakeflow pipelines, and cloud-native storage.
• Collaborate with stakeholders to gather requirements and translate business needs into detailed technical designs, data models, and solution architectures.
• Design, build, and optimize data pipelines, workflows, and data models, including ingestion, transformation, orchestration, and metadata management.
• Provide technical leadership, coaching, and mentorship to engineering teams to ensure high-quality development and adherence to architectural standards.
• Establish and enforce best practices for data security, access controls, governance, cataloging, lineage, and compliance within Databricks environments.
• Oversee configuration and management of Databricks Workspaces, Unity Catalog, CI/CD automation, environment setup, and deployment frameworks.
• Troubleshoot and resolve complex technical issues related to performance, data quality, integration, and environment configuration.
• Lead test strategy and quality assurance activities, including unit testing, regression testing, system testing, and readiness reviews.
• Drive platform optimization and cost efficiency, including cluster tuning, storage optimization, and pipeline performance improvements.
• Plan and oversee data migration iterations, parallel runs, and production deployment processes to ensure smooth cutover and minimal business disruption.
• Support knowledge transfer, documentation, and training activities to empower end users and operational teams.
• Stay current with Databricks platform advancements and industry trends, and proactively introduce innovations to improve data engineering capabilities.
• Document architectures, technical designs, processes, and best practices for ongoing reference and compliance.

Here's What You Need:

• Strong expertise in Databricks, Apache Spark, Delta Lake, and cloud platforms such as AWS or Azure
• Experience with ETL/ELT processes, data modeling, CI/CD pipelines, and performance tuning in large-scale environments will be critical
• Leading technical teams, coordinating complex migrations, managing project timelines, and mentoring engineers will further support your impact in this technical leadership role
• Bachelors Degree or 10+ years of industry experience

Bonus Points If:

• Advanced Degree
• 15+ years of industry experience
• Motivated and proactive, with a desire to understand and address complex areas
• Curiosity for learning about new technology, industry best practices, and areas of risk, analyzing and turning new insights into concrete action
• Commitment to delivering tangible outcomes for customers and stakeholders
• Strong written and verbal communication/interpersonal skills to effectively collaborate with cross-functional teams and stakeholders.
• Excellent people management and relationship development skills
• In-depth knowledge of Accenture delivery methodologies and practices

The Extras:

• US Citizenship Required
• The ability to obtain and maintain a government security clearance