Databricks Solutions Architect - Lead Data Platform Design

Hitachi Digital Services; Addison (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Hitachi Digital Services in Addison, Texas, seeks a Databricks Solution Architect to design and implement scalable enterprise data platforms using Databricks. You will lead architecture discussions, drive data governance, and collaborate with cross-functional teams across cloud environments to deliver high-impact solutions.

The role requires strong data engineering, expertise in Spark, Python, and SQL, and the ability to translate business requirements into durable technical designs.

Qualifications

• Strong hands-on experience with Databricks (clusters, notebooks, Delta Lake, MLflow, Unity Catalog).
• Experience with at least one cloud provider (AWS, Azure, GCP).
• Strong proficiency in Spark, Python, SQL, and distributed data processing.
• Experience designing large-scale data solutions including ingestion, transformation, storage, and analytics.
• Experience with streaming technologies (Structured Streaming, Kafka, Kinesis, EventHub).
• CI/CD practices for data pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.).

Responsibilities

• 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 standards.
• Provide guidance on cluster configuration, performance optimization, and governance.
• Lead technical discussions and design workshops with engineers and stakeholders.
• Mentor data engineers and developers on best practices.

Skills

Databricks expertise

Cloud platforms (AWS/Azure/GCP)

Data engineering (Spark, Python, SQL)

Architecture leadership

Streaming technologies

DevOps for data pipelines

Tools

Delta Lake

Unity Catalog

MLflow

Job description

Hitachi Digital Services in Addison, Texas, seeks a Databricks Solution Architect to design and implement scalable enterprise data platforms using Databricks. You will lead architecture discussions, drive data governance, and collaborate with cross-functional teams across cloud environments to deliver high-impact solutions.

The role requires strong data engineering, expertise in Spark, Python, and SQL, and the ability to translate business requirements into durable technical designs.