Data Engineer

Develop and manage data engineering solutions involving Databricks Lakehouse Platform Collaborate with clients and stakeholders to gather requirements and feedback Ensure data integrity and implement data governance practices Design architecture for data processing and storage solutions Work in consulting environments to deliver services and solutions to clients Requirements 7 + years of IT experience Databricks (data engineering, SQL, notebooks, app/backend integration patterns) Enterprise data warehouses and lakehouse platforms (Nice to have Fabric, Snowflake, Synapse, BigQuery – experience) Deep knowledge of data modeling, data warehousing, and lakehouse patterns Hands‑on experience with at least one modern data platform Experience integrating data platforms with applications using APIs, services, or event‑driven patterns Solid understanding of cloud architecture concepts (security, networking, scalability, cost management) Strong communication skills with the ability to engage both technical and business stakeholders Experience working in client‑facing or consulting environments Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field 4+ years of experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting Deep hands on experience with Databricks Lakehouse Platform and Apache Spark Strong proficiency in PySpark, SQL, Delta Lake, Databricks SQL Experience implementing Unity Catalog, data governance, and enterprise security controls Cloud experience with Azure Databricks, AWS Databricks, or GCP Databricks Familiarity with CI/CD, DevOps, and automation for Databricks workloads 8–12+ years in data engineering or architecture, with 4–5+ years delivering Databricks solutions Proven experience in client facing consulting roles, including requirements discovery, solution design, and executive communication. Core Competencies Demonstrates extensive expertise in data engineering solutions, particularly with the Databricks Lakehouse Platform, and possesses strong skills in data governance, architecture design, and client engagement in consulting environments. Highest-signal resume keywords Databricks Lakehouse Platform Data Engineering SQL Data Governance Cloud Architecture ATS Optimization Keywords Hard Skills Data Modeling Data Warehousing PySpark Delta Lake Databricks SQL API Integration Event-Driven Patterns CI/CD DevOps Cloud Technologies Soft Skills Strong Communication Skills Client Engagement Certifications & Qualifications Bachelor's Degree in Computer Science Information Technology Engineering Business Industry Keywords Data Engineering Consulting Enterprise Data Warehouses Lakehouse Patterns Data Governance Practices Tools & Technologies Azure Databricks AWS Databricks GCP Databricks Apache Spark Unity Catalog #J-18808-Ljbffr