$140K-180K a year
Lead design and implementation of scalable data solutions on Azure and Databricks, collaborating with stakeholders and mentoring junior engineers.
7+ years of data engineering experience with expertise in Azure and Databricks, strong programming skills, and excellent communication abilities.
Job Title: Principal Data Engineer (Azure and Databricks) Company Overview: Tiger Analytics is a global AI and analytics consulting firm dedicated to transforming data into actionable insights that drive business success. Headquartered in Silicon Valley, we pride ourselves on fostering a culture of expertise, innovation, and collaboration, impacting millions of lives worldwide through cutting-edge technology solutions. Role Overview: As a Principal Data Engineer at Tiger Analytics, you will lead the design and implementation of scalable data solutions using Azure and Databricks platforms. Your role is pivotal in enabling data-driven decision-making by building robust data pipelines and architectures that support advanced analytics and AI initiatives. What You'll Do: - You will design, develop, and maintain scalable data pipelines and architectures on Azure and Databricks. - You will collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver effective solutions. - You will lead the integration of diverse data sources ensuring data quality, reliability, and security. - You will mentor and guide junior engineers, fostering a culture of continuous learning and improvement. - You will optimize data workflows for performance and cost-efficiency. - You will implement best practices for data governance and compliance. - You will stay current with emerging technologies and recommend innovative tools and techniques. - You will contribute to strategic planning and execution of data engineering projects. What You Bring: - Minimum of 7 years of experience in data engineering with a strong focus on Azure and Databricks. - Proficiency in programming languages such as Python, Scala, or SQL. - Deep understanding of cloud data platforms, ETL processes, and big data technologies. - Experience with data modeling, data warehousing, and real-time data processing. - Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. - Excellent communication skills to effectively interact with technical and non-technical stakeholders. Bonus Points If You Have: - Experience with machine learning pipelines and AI integration. - Knowledge of DevOps practices and CI/CD pipelines for data engineering. - Familiarity with other cloud platforms like AWS or Google Cloud. - Certifications in Azure Data Engineering or related fields. What We Offer: - We offer a dynamic and inclusive work environment that values innovation and teamwork. - We offer competitive salary and comprehensive benefits including health, dental, and vision insurance. - We offer opportunities for professional growth and continuous learning. - We offer flexible work arrangements to support work-life balance. - We offer the chance to work on impactful projects with global reach. Ready to Apply? To join our team as a Principal Data Engineer, please submit your resume and cover letter through our careers page at www.tigeranalytics.com/careers. We look forward to exploring how your expertise can drive our data initiatives forward.
This job posting was last updated on 9/10/2025