Sr. Databricks SME

***This role is not open to 3rd Party C2C candidates or sponsorship at this time***Job Title: Sr. Databricks EngineerLocation: 100% Remote, but ideally must sit in one of these states: PA, GA, TX, FL, COJob Type: 6 month contract to hire.Pay Range: $70/HR - $85/HR. Conversion Salary in the 150-160k ballpark. Potential flex on both.Benefits: Heathcare, 401kAbout the OpportunityOur client is a leading advisory and innovation consulting firm that helps organizations design and build modern data, cloud, and AI-enabled solutions. They partner with enterprise clients across complex and highly regulated industries to modernize operating models, build scalable data platforms, and accelerate digital transformation.They are seeking a Senior Databricks Engineer with deep experience designing and building enterprise-grade data platforms using Databricks in Azure environments. This is a highly hands-on role for someone who has built large-scale data solutions from the ground up and can confidently guide architecture decisions, delivery strategy, and engineering best practices in client-facing environments.This individual must be able to operate as a Databricks subject matter expert, balancing hands-on development with architecture leadership and direct client interaction.Key ResponsibilitiesDesign and build enterprise-scale data platforms using Databricks on Azure.Architect and implement lakehouse solutions using Delta Lake, Unity Catalog, and Apache Spark.Build and optimize batch and streaming pipelines for high-volume enterprise data.Design medallion architecture environments from greenfield through production.Build scalable data models to support analytics, reporting, and downstream applications.Integrate Databricks with APIs, event streams, cloud warehouses, and ML workflows.Optimize Spark workloads for performance, reliability, and cost efficiency.Support CI/CD, testing, release management, and production operations.Partner directly with enterprise clients to translate requirements into scalable technical solutions.Mentor engineers and help establish reusable engineering patterns and standards.Required Qualifications7+ years in Data Engineering or Data Platform Engineering.Deep hands-on experience with Databricks in production enterprise environments.Strong Azure cloud experience.Strong experience with:DatabricksDelta LakeApache SparkUnity CatalogBatch and streaming pipeline designPerformance tuning and cost optimizationStrong client-facing communication skills and ability to articulate architectural tradeoffs.Desired SkillsAdvanced experience with:Declarative Pipelines / Delta Live TablesWorkflow orchestrationGovernance and access controlOperational monitoringLakehouse architecture best practicesInfrastructure-as-code experience using:TerraformBicepCI/CD experience using:GitHubAzure DevOpsExperience with complementary modern data tools such as:SnowflakedbtApache AirflowApache Kafka