Databricks Solution Architect

Valiant Technologies LLC; San Francisco (CA); On-site; USD 83,000 - 118,000; Full time

Job summary

Valiant Technologies LLC in San Francisco seeks a Databricks Solution Architect to own end-to-end data and ML architecture on Databricks. You will lead stakeholder workshops, convert business requirements into reference architectures, and drive delivery roadmaps for secure, compliant analytics platforms.

The role emphasizes medallion data architecture, Unity Catalog governance, and cost-aware FinOps. Collaboration with security, data teams, and vendors is essential to delivering scalable

Qualifications

• 7+ years in data engineering/architecture with 5+ years on Databricks.
• Expertise in Spark, Delta Lake, SQL and medallion modeling.
• Strong AWS architecture knowledge and multi-account design.
• Experience with Unity Catalog, data security, and governance.
• Proven migration of Hadoop/Hive and warehouse workloads.
• Familiar with Kafka, Structured Streaming, and disaster recovery.

Responsibilities

• Define target-state architecture across ingestion, medallion layers, serving and ML on Databricks.
• Lead stakeholder discovery; translate business requirements into designs and roadmaps.
• Design marketing data solutions: identity resolution, segmentation and campaign analytics.
• Architect collections data for delinquency, integration with agencies, and compliance.
• Define batch/streaming patterns, multi-account AWS networking and DR plans.
• Establish security/governance with Unity Catalog, encryption, logging and data lineage.
• Plan migration from Hadoop/Hive/EMR to modern platforms; develop cost models.
• Lead reviews, vendor evaluations, PoCs, and architecture standards.

Skills

7+ years data engineering/architecture

5+ years with Databricks

Apache Spark

Delta Lake

SQL

Medallion architecture

AWS, multi-account design

Unity Catalog and data governance

Data security and PII/NPI protection

Kafka and Spark Structured Streaming

FinOps / cost optimization

Tools

Databricks

Unity Catalog

AWS (Networking, IAM, Encryption)

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Databricks Solution Architect

Location: San Francisco, CA

Duration: 8 Months + Extension

Bill Rate: $72/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description

Key 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.

Must-Have Skills:

• 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.

Good to Have:

• Banking, lending, or regulated financial services experience.
• Marketing data architecture, Customer 360, consent management, or campaign analytics.
• Collections data, delinquency, agency, and dialer feed integrations.
• Databricks ML/MLOps, MLflow, feature stores, and Databricks/AWS certifications.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.