Solution Architect, Delivery, Databricks

Infinitive

. Design enterprise-scale, production-ready Lakehouse solutions using the Databricks Data Intelligence Platform, Medallion Architecture, Delta Lake, and Databricks SQL .

Posted 11/11/2026full-timeRemote • United StatesSeniorLead💰 $140,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing enterprise-scale Lakehouse solutions using the Databricks Data Intelligence Platform, with a strong focus on data architecture, governance, and performance optimization. Proficient in leading technical teams and translating complex requirements into actionable architectural designs.

Highest-signal resume keywords

Databricks Data Intelligence PlatformApache Spark ArchitectureData Governance ModelsDatabricks Certified Data Engineer ProfessionalCloud Platform Proficiency (AWS, Azure, GCP)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ArchitectureData EngineeringDimensional ModelingPython ProgrammingSQL ProgrammingPySpark DevelopmentTerraform ImplementationStructured StreamingDelta Lake OptimizationMedallion Architecture

Soft Skills

LeadershipCollaborationProblem-SolvingCommunicationTechnical Advisory

Tools & Technologies

Databricks SQLUnity CatalogApache SparkDatabricks WorkflowsAirflowMLflowFeature StorePower BITableauData Observability Platforms

Certifications & Qualifications

Databricks Certified Data Engineer ProfessionalDatabricks Certified Machine Learning Professional

Industry Keywords

Cloud IAMVPC NetworkingHIPAA ComplianceHITRUST ComplianceSOC2 ComplianceFedRAMP Compliance

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudETLGoogle Cloud PlatformHadoopPySparkPythonSparkSQLTableauTerraformUnityVault

About the role

Key responsibilities & impact

Design enterprise-scale, production-ready Lakehouse solutions using the Databricks Data Intelligence Platform, Medallion Architecture, Delta Lake, and Databricks SQL
Architect and configure enterprise security and governance models using Unity Catalog, row/column-level filtering, data masking, ABAC, and Delta Sharing
Lead strategy and technical execution for migrating legacy data warehouses and Hadoop platforms to Databricks
Define batch and low-latency streaming patterns using Structured Streaming, Delta Live Tables, Auto Loader, and Apache Spark
Lead engineering pods by establishing reference architectures, conducting architectural reviews, reviewing pull requests, and standardizing CI/CD pipelines
Diagnose and resolve Spark and Delta performance bottlenecks, optimizing query plans, partitioning, Z-Ordering, caching, and Photon configurations
Establish compute governance, cluster policies, auto-termination/autoscaling rules, serverless compute configurations, and chargeback/showback tagging models
Partner with ML and AI engineers to integrate MLflow, Feature Store, Model Serving, and Vector Search/RAG pipelines
Advise client Chief Architects, Directors of Engineering, and CDOs through technical workshops, design sessions, and POC evaluations
Collaborate with Databricks Partner Solutions Architects and field engineering on platform capabilities and best-practice alignment
Create reusable architectural blueprints, reference architectures, migration accelerators, and boilerplate configurations for Infinitive’s IP library

Requirements

What you’ll need

8+ years in data architecture, data engineering, or enterprise software development
At least 3+ years architecting enterprise solutions centered on Apache Spark and the Databricks Data Intelligence Platform
Databricks Certified Data Engineer Professional or Databricks Certified Machine Learning Professional certification
Deep architectural proficiency in at least one major cloud platform: AWS, Azure, or GCP
Knowledge of VPC/VNet networking, private endpoints, cloud IAM/Entra ID integration, and cloud object storage such as S3, ADLS Gen2, or GCS
Mastery of dimensional modeling, Data Vault, and Medallion design
Production experience implementing Unity Catalog across multi-workspace environments
Advanced programming skills in Python, PySpark, and SQL
Production experience with Terraform and orchestrators such as Databricks Workflows or Airflow
Proven experience leading technical delivery teams, translating functional requirements into architectural blueprints and user stories, and resolving critical delivery blockers
Preferred: experience integrating Databricks with Power BI, Tableau, reverse ETL, dbt, or data observability platforms
Preferred: experience with HIPAA, HITRUST, SOC2, or FedRAMP-compliant architectures
Active Public Trust or Secret clearance, or eligibility to obtain, is a plus