Databricks Solution Architect - Data & ML Platform Lead

Machine Learning Technologies, LLC; San Francisco (CA); On-site; USD 84,000 - 114,000; Full time

Job summary

Machine Learning Technologies, LLC in San Francisco seeks a Databricks Solution Architect to design target-state architecture for data ingestion, medallion layers, data serving, and ML workloads on Databricks. You will lead discovery and translate business requirements into solution designs and delivery roadmaps.

Must have 7+ years in data engineering or architecture, 5+ years with Databricks, strong Spark/Delta Lake/SQL skills, AWS multi-account design, Unity Catalog, and experience migrating

Qualifications

• 7+ years in data engineering or architecture, including 5+ years with Databricks.
• Strong expertise in Apache Spark, Delta Lake, SQL, medallion architecture, and dimensional data modeling.
• Strong AWS architecture knowledge, including networking, IAM, encryption, and multi-account design.
• Experience with Unity Catalog, data security, governance, and PII/NPI protection.
• Proven experience migrating legacy Hadoop/Hive and warehouse workloads.
• Knowledge of Kafka, Spark Structured Streaming, batch processing, disaster recovery, and high availability.
• Experience with Databricks cost optimization, FinOps, stakeholder management, and architecture documentation.

Responsibilities

• Define target-state architecture covering data ingestion, medallion architecture (Bronze/Silver/Gold), data serving, and ML workloads on Databricks.
• Lead stakeholder discovery, translate business requirements into solution designs, reference architectures, and delivery roadmaps.
• Design marketing data solutions for customer identity resolution, segmentation, campaign measurement, and compliant data sharing.
• Architect collections data solutions for delinquency monitoring, contact data, agency/vendor integrations, and regulatory compliance.
• Define batch and streaming patterns, AWS networking, IAM, multi-account architecture, high availability, and disaster recovery.
• Establish security and governance using Unity Catalog, PII/NPI protection, encryption, audit logging, and data lineage.
• Plan migration from legacy Hadoop, Hive, EMR, and data warehouse platforms.
• Develop Databricks cost and capacity models, FinOps controls, and platform investment business cases.
• Lead architecture reviews, vendor evaluations, proofs of concept, and architecture standards.

Skills

Databricks

Apache Spark

Delta Lake

SQL

Medallion architecture

AWS architecture

Unity Catalog

Data security

Kafka

FinOps

Job description

Machine Learning Technologies, LLC in San Francisco seeks a Databricks Solution Architect to design target-state architecture for data ingestion, medallion layers, data serving, and ML workloads on Databricks. You will lead discovery and translate business requirements into solution designs and delivery roadmaps.

Must have 7+ years in data engineering or architecture, 5+ years with Databricks, strong Spark/Delta Lake/SQL skills, AWS multi-account design, Unity Catalog, and experience migrating