Databricks App Data Engineer

Royal Cyber; United States; Remote; USD 120,000 - 165,000; Full time

Job summary

Royal Cyber Inc. is seeking a Databricks App Data Engineer to design and implement data-driven applications using Databricks, Delta Lake, and Unity Catalog.

You will integrate data from multiple enterprise systems and deliver end-to-end data solutions, including modeling, transformations, and semantic reporting. The role emphasizes direct collaboration with stakeholders to capture business requirements and translate them into robust data models and analytics using Power BI and Fabric.

Qualifications

• Must be able to understand business requirements directly from stakeholders, without depending heavily on a Business Analyst.
• Capable of gathering requirements, understanding processes, designing data models, and implementing solutions.
• Strong analytical and problem-solving skills to translate business needs into technical deliverables.
• Experience with operational, supply chain, procurement, production, or industrial data would be relevant.
• Previous experience in mining, manufacturing, or asset-intensive industries would be advantageous.

Responsibilities

• Develop/databricks apps and data engineering solutions.
• Model data and transform data using Delta Lake and Unity Catalog architectures.
• Ingest and integrate data via Azure Data Factory.
• Collaborate with stakeholders to translate business needs into technical deliverables.
• Create semantic models and Power BI reports for business insight.

Skills

Databricks Apps

Databricks data engineering

Data modeling

Data transformations

Delta Lake

Unity Catalog

Bronze-Silver-Gold architecture

Azure Data Factory

Power BI

Microsoft Fabric

semantic models

Tools

Databricks

Delta Lake

Unity Catalog

Azure Data Factory

Power BI

Microsoft Fabric

OneLake

Job description

Dear Candidate,

We have Job opening for Databricks App Data Engineer please find the detailed description below

Company Details :

Royal Cyber is a trusted global IT consulting & digital transformation partner, empowering enterprises for over two decades to evolve with agility, security, and innovation. Founded in 2002, Royal Cyber has built a strong legacy of helping organizations modernize legacy systems, embrace cloud-native technologies, and adopt AI-driven solutions. With 20+ years of delivering business-critical digital projects, we serve clients across USA, Canada, UK, UAE, KSA, India, Australia, and more with innovation hubs and delivery centers strategically located to support 24/7 operations. Global Presence: Headquartered in Naperville, IL (USA) Operations in 15+ countries 1,000+ certified consultants 1,000+ successful global deployments Fortune 500 client base across retail, banking, insurance, manufacturing, healthcare, and public sector What We Specialize In: Cloud Transformation & DevOps (Azure, GCP, AWS) Generative & Agentic AI (Enterprise-grade use cases powered by LLMs) Digital Commerce & CX Platforms (Salesforce, SAP Commerce, Adobe, Magento, Creatio, HubSpot, Commerce tools) Enterprise Integration & API Management (MuleSoft, Boomi, IBM) Hyper automation & Low Code Enablement (UiPath, Appian, Power Platform) Data Governance, Privacy & Security (Microsoft Purview, Zero Trust) Legacy Modernization & Mainframe Refactoring (COBOL to Java, Monolith to Microservices)Royal Cyber is on a journey to become the worlds most agile modernization partner blending innovation, strategy, and delivery excellence to accelerate enterprise evolutionKey

Responsibilities

Databricks Apps / Data Engineers

Key technical requirements:

• Strong hands-on experience with Databricks Apps, including building and implementing data-driven applications.
• Expertise in Databricks data engineering, data modeling, and data transformations.
• Experience working with Delta Lake, Unity Catalog, and Bronze/Silver/Gold (Medallion) architecture.
• Ability to work with data from multiple enterprise systems and develop end-to-end solutions.
• Experience with Azure Data Factory (ADF) for data ingestion and integration.
• Familiarity with Power BI, Microsoft Fabric, and semantic models would be valuable.

2. Critical Business & Functional Skills

This is particularly important to the customer:

• Must be able to understand business requirements directly from stakeholders, without depending heavily on a separate Business Analyst.
• Capable of independently gathering requirements, understanding business processes, designing data models, and implementing solutions.
• Strong analytical and problem-solving skills, with the ability to translate business needs into technical deliverables.
• Experience working with operational, supply chain, procurement, production, or industrial data would be highly relevant.
• Previous experience in mining, manufacturing, or other asset-intensive industries would be an advantage.

3. Customer's Current Technology Environment

• Databricks: Primary data storage, engineering, transformation, and modeling platform.
• Unity Catalog: Data organization and governance.
• Azure Data Factory: Data ingestion and integration.
• Power BI / Microsoft Fabric: Reporting, dashboards, and centralized semantic models.
• OneLake / Direct Lake / Shortcuts: Used to connect Databricks data to Fabric and optimize reporting performance.
• SAP and other operational systems: Business data sources.