Azure Databricks Architect
Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization’s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful. Altimetrik helps get companies get “unstuck”. We’re a technology company that lives organizations a process and context to solve problems in unconventional ways. We’re a catalyst for organization’s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyableWe are seeking a Azure Databricks Architect to define and lead the architecture of scalable, secure, and high-performance data platforms on Microsoft Azure. This role is hands-on and requires both architectural leadership and direct contribution to design, development, optimization, and delivery. The ideal candidate will shape platform strategy while actively building proof-of-concepts, reference implementations, and production-grade solutions.Key responsibilitiesOwn the end-to-end architecture for Azure Databricks-based data platforms, including ingestion, transformation, storage, serving, and governance layers.Design reusable frameworks, ELT patterns, and data models that improve delivery speed, consistency, and maintainability.Build and optimize pipelines and Spark jobs directly, with a strong focus on performance, reliability, and cost efficiency.Architect solutions using Azure Databricks, Delta Lake, ADLS, Azure Data Factory, and related Azure platform services.Establish governance, security and code-quality standards for the platform.Partner closely with business analysts, functional teams, and engineering teams to translate requirements into working solutions.Guide troubleshooting, code reviews, and production support for complex data workloads.Drive modernization and cloud-native adoption across data and analytics capabilities.Must-have qualifications15+ years of experience in data engineering, data architecture, or platform engineering.Strong hands-on experience with Azure Databricks, Spark, Python/Scala, SQL, and Delta Lake.Proven experience designing and implementing cloud data hubs, data lakes, and analytical data stores.Experience with Azure DevOps, CI/CD, and automated deployment practices.Ability to work directly on technical implementation, not only provide oversight.Strong communication and stakeholder collaboration skills.Basic qualifications: Bachelor’s degree in Computer Science, Software engineering or a related field