Analyze the business requirements and needs of the organization.
Architect and design robust, scalable, and secure enterprise data platform leveraging Databricks and various cloud services on Microsoft Azure.
Lead implementation of advanced data analytics solutions utilizing Databricks and Delta Lake architectures to extract, transform, and load (ETL) data.
Leverage Databricks to perform data engineering, artificial intelligence and machine learning tasks.
Collect, process, and analyze large datasets from various sources within the aviation domain (e.g., flight data, baggage information, weather data, operational logs etc.).
Perform data quality checks and ensure data accuracy and consistency.
Identify trends, patterns, and anomalies in data to provide valuable insights and support business decision-making.
Contribute to the development of data models and database designs.
Document data sources, data flows, and analytical processes.
Stay up to date with the latest trends and technologies in data analysis and the aviation industry.
Create insightful and interactive data visualizations and reports using tools like Power BI to communicate findings to non-technical audiences.
Define and govern enterprise-wide cloud architecture standards, security protocols, and operational best practices.
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Mentor and provide technical leadership to platform engineering and data engineering teams.
Ensure continuous platform optimization, cost management, and high availability of critical analytics infrastructure.
Partner with business stakeholders to translate airport operational requirements into technical blueprints and scalable solutions.
Required Qualifications & Experience
Microsoft Certified: Azure Solutions Architect Expert or equivalent advanced architectural certification.
Databricks Certified Data Engineer Professional or similar advanced credential in big data ecosystems.
Proven track record of designing large-scale digital platforms in complex operational environments, preferably within aviation or large infrastructure.
Educational Background
Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related technical discipline.
Advanced certifications in Enterprise Architecture frameworks such as TOGAF are highly preferred.
Years & Type of Experience
15 to 20 years of progressive experience in IT, with at least 5+ years in a senior architectural capacity.
Demonstrated experience leading large-scale data engineering and analytics transformation programs utilizing Microsoft Azure and Databricks.
Domain Expertise
Deep functional knowledge of cloud computing paradigms (IaaS, PaaS, SaaS) and distributed data systems.
Strong understanding of big data ecosystems, data warehousing, and modern data mesh architectures.
Familiarity with the aviation or large-scale infrastructure domain, including passenger processing, non-aero revenue analytics, and airport operations.
Digital & Operational Tools
Cloud Platforms: Advanced proficiency in Microsoft Azure services (Azure Data Factory, Azure Event Hub, Azure Kubernetes Service, Azure IoT Hub etc).
Data & Analytics: Expertise in Databricks, Apache Spark, Delta Lake, and enterprise Business Intelligence platforms.
Proficiency in one programming languages such as JavaScript/Node.js, Java, Python, etc.
Expertise in databases like PostgreSQL, MS SQL, and MongoDB.
Expertise in APIs, ESB (Enterprise Service Bus), and Kafka.
