Remote Principal Architect

Summary

Join Tiger Analytics, a pioneering AI and analytics company, as an experienced Solution Architect in Data Engineering. Design and implement robust data solutions to solve complex business problems for Fortune 100 companies.

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
• Strong proficiency with Databricks and big data technologies
• 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

Responsibilities

• Manage large-scale data analytics client engagements in a global delivery model
• Work with clients’ Technology and Program teams to craft the engagement planning and execution roadmap
• 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
• Responsible for presentations to senior management and client executives, communicating results to client stakeholders, and developing plans to help operationalize the solutions
• 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

Benefits

Significant career development opportunities exist as the company grows