Senior Data Architect

About the role

Ryan is hiring a Senior Data Architect in Hyderabad to oversee the implementation of technical solutions for ingesting, transforming, processing and storing data in high-volume, low-latency pipelines. The role combines hands-on technical leadership with managing matrixed resources, and involves writing code and developing the skills of the wider team.

Key responsibilities

• Model and design the data platform architecture (data domains, flows and topology) in a lakehouse environment such as Databricks, and build and maintain data pipelines within the Platform Reference Architecture.
• Translate management, product and practice requirements into well-structured data models and analytical frameworks.
• Work in an Agile team to design, develop, test, implement and support scalable data solutions on lakehouse platforms, with emphasis on data modeling, data flow analysis and sound data architecture.
• Deliver cloud-based data solutions that support tax decisions, ensuring data is accurate, well-governed and business-ready.
• Implement secure, scalable solutions based on medallion architecture (Bronze/Silver/Gold) and Delta Lake patterns, and run unit tests and code reviews.
• Analyze user feedback, stay current on technology trends, mentor colleagues and take on other duties as assigned.
• Supervise staff, train employees, assign work and assure quality.

Required profile

• Bachelor's or master's degree in a related field.
• 10+ years developing data technologies, with deep experience in data platform modeling, data products and information flows on lakehouse platforms such as Databricks, including Delta Lake, Unity Catalog and medallion architecture.
• 10+ years deploying ETL/ELT solutions in production, preferably on Spark-based platforms like Databricks.
• 10+ years developing cloud-based data services, preferably on AWS or Azure, with data governance, metadata management and data catalog practices.
• 10+ years developing and overseeing Python, Scala, Java.NET or similar solutions, including PySpark and Databricks notebooks, with SQL and BI/reporting tools such as Power BI and Tableau.
• 10+ years in database and query tuning, data quality assessment, profiling and data standards, and in mixed Windows/Linux environments.
• Fluency in one or more database technologies; relational and NoSQL experience preferred.
• Hands-on Databricks experience (Delta Lake, Unity Catalog, Databricks Workflows) and knowledge of at least one AI/ML pipeline platform.
• Experience deploying and monitoring data pipelines in production, including Databricks Workflows and Delta Live Tables.
• Intermediate knowledge of Microsoft Office and PowerPoint; occasional long periods of sitting; independent travel as needed.

What we offer

• Award-winning culture and flexible work environment.
• Generous paid time off and world-class benefits and compensation.
• Rapid growth opportunities and company-sponsored two-way transportation.