Principal Architect

Summary

Join Tiger Analytics, a leader in AI and analytics solutions, as a Solution Architect in Data Engineering. You will design and implement robust data solutions for Fortune 100 companies, working with large-scale structured and unstructured data. This role involves managing client engagements, collaborating with executives to understand business needs, and presenting solutions to technical and business audiences. You will leverage modern data and analytics trends, lead discussions on architecture and tools, and collaborate with stakeholders to develop software. Significant career development opportunities are available within this fast-growing company.

Requirements

• 12+ years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects
• Prior experience building large-scale enterprise data architectures using commercial and/or open-source Data Analytics technologies
• Design and develop scalable Databricks-based architectures to process and analyze large-scale life sciences data
• Lead end-to-end data platform architecture, including ETL/ELT pipelines, data lakes, data warehouses, and data governance frameworks
• Implement Databricks on AWS, ensuring security, scalability, and performance
• Utilize Delta Lake, Unity Catalog, MLflow, and Databricks SQL for advanced analytics
• Integrate Snowflake, Redshift, Synapse, and other cloud-native data platforms where required
• Ability to produce client-ready solution architecture, business-understandable presentations and good communication skills to lead and run workshops
• Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming, and real-time data pipelines
• Data modeling and architecting skills including strong foundation in data warehousing concepts and experience with data warehouse solutions, such as Amazon Redshift, Google BigQuery, or Snowflake
• Deep understanding of Life Sciences to deliver domain-specific solutions that address industry challenges
• Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools
• An in-depth experienceof Cloud solutions and experience in integrating into traditional hosting/delivery models
• Strong project management and team management skills and ability to work with global teams
• Understanding the application of project mgmt. and agile methodologies
• Ability to work in a large matrixed organization and steer the path to success
• Excellent communication, presentation, and interpersonal skills

Responsibilities

• Manage large-scale data analytics client engagements in a global delivery model
• Work with business executives to understand business requirements and constraints for the success of the program
• Present solutions to technology and business audiences highlighting the robustness of the solution and how it could help generate business value
• Ideating problem solutions leveraging modern trends in data and analytics solutions and related pattern
• Hold discussions on high-level architecture, platforms, and tools fitments for data and analytics solutions
• Steer discussions in strategizing and implementing digital and cloud solutions
• Collaborating with business / IT stakeholders and product managers to ideate software

Benefits

• Significant career development opportunities exist as the company grows
• The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility