Databricks Solution Architect

Artifintech; San Francisco (CA); On-site; USD 82,000 - 117,000; Full time

Job summary

Artifintech in San Francisco is seeking a Databricks Solution Architect to design and govern data and ML architectures on Databricks, aligning business needs with scalable technical solutions.

You will lead stakeholder discussions, craft reference architectures, and plan migrations from legacy systems while ensuring security, cost controls, and regulatory compliance across data platforms.

Qualifications

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

Responsibilities

• Define target-state architecture for data ingestion, medallion layers, data serving, and ML workloads on Databricks.
• Lead stakeholder discovery and translate requirements into designs, reference architectures, and roadmaps.
• Design marketing data solutions for identity resolution, segmentation, campaign measurement, and 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

Stakeholder management

Architecture planning

Cost optimization

FinOps awareness

Data governance

Regulated finance

Marketing analytics

Customer 360

Consent management

Campaign analytics

Collections data

Dialer integrations

Databricks ML

MLflow

Feature stores

AWS certifications

Tools

Databricks

Apache Spark

Delta Lake

SQL

Unity Catalog

Kafka

Spark Structured Streaming

Multi-account AWS design

FinOps tooling

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.