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Designs application data architecture, storage, integration, and scalable Databricks ETL/ELT pipelines. Builds PySpark and Python transformations, Auto Loader and DLT workflows, Unity Catalog security controls, Delta Sharing, BI integrations, dashboards, and GenAI-ready datasets. Optimizes cloud-based data processing for cost and reliability while collaborating with stakeholders on data modeling, governance, and operational SLAs.

Designs, develops, and maintains data foundations, pipelines, integrations, and ETL/ELT solutions. Ensures data quality, supports data migration across systems, models and processes data, and delivers scalable solutions using cloud and analytics technologies. Collaborates with technical and business stakeholders, leads implementation initiatives, manages incidents and change processes, presents findings, and mentors junior engineers.

Designs, develops, and maintains data foundations, pipelines, and end-to-end data solutions. Implements ETL and ELT processes, data integration, ingestion, modeling, processing, and quality initiatives across cloud systems. Partners with business and technical stakeholders, mentors junior engineers, supports change and incident management, presents findings, and drives efficient implementation of data strategy and foundation initiatives.

Designs and implements scalable Databricks data architectures, including ETL/ELT pipelines, data modeling, ingestion, transformation, validation, governance, security, and integrations. Builds Delta Lake and DLT pipelines, configures Unity Catalog, enables data sharing, optimizes cloud workloads, and prepares datasets for analytics and generative AI. The role also supports BI integrations, CI/CD deployment, performance tuning, and collaboration with technical and business stakeholders.

Designs and supports data platform blueprints, data models, and platform components. Collaborates with integration and data architects to ensure cohesive system and data integration. Acts as a subject-matter expert, leads teams, makes technical decisions, provides solutions across teams, and promotes knowledge sharing. Requires expertise in data modeling, data architecture, data integration, cloud data platforms, and scalable data model implementation.

Designs and governs scalable application data architectures, including storage, integration, modeling, and data warehousing. Builds Databricks ETL/ELT pipelines with Delta Lake, Auto Loader, and Delta Live Tables; implements Unity Catalog security, PII masking, data sharing, observability, and performance optimization. Develops PySpark and Python transformations, integrates BI tools, prepares AI-ready datasets, and deploys pipelines through CI/CD. Collaborates with stakeholders to deliver secure, reliable, and cost-efficient data platforms.

The Data Architect will define application data requirements, models, storage, and integrations. Responsibilities include building scalable Databricks ETL/ELT and DLT pipelines, implementing Unity Catalog security and governance, optimizing cloud data workloads, developing Python and PySpark transformations, integrating BI tools, preparing GenAI datasets, and deploying pipelines through CI/CD. The role also involves troubleshooting, performance tuning, data sharing, stakeholder collaboration, and ensuring reliable, secure, and cost-efficient data platforms.

Designs and governs scalable data architectures using Databricks, including ETL/ELT pipelines, Delta Lake, DLT, Auto Loader, Unity Catalog, and Delta Sharing. Builds secure, observable, and optimized data platforms across cloud environments, develops PySpark and Python transformation logic, integrates BI tools, prepares GenAI datasets, and deploys pipelines through CI/CD. Requires strong data modeling, warehousing, performance optimization, and cloud data engineering expertise.

Analyze, design, code, test, maintain, and enhance application components for multiple clients. Collaborate with cross-functional teams to gather requirements, provide technical solutions, conduct code reviews, troubleshoot defects, and optimize application performance. The role requires independent execution, active team participation, and expertise in Varicent.

Leads the technical direction, architecture, design, and delivery of custom software solutions. Establishes development standards, ensures quality, scalability, and performance, manages software engineering teams, coordinates cross-functional integration, mentors team members, solves complex technical problems, and aligns technology decisions with business objectives and project deadlines.