Solution Architect

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Solution Architect in Data Engineering to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem.

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.

Collaborating with business / IT stakeholders and product managers to ideate software

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

Ability to estimate complexity, effort and cost

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

Good fundamentals around security integration including Kerberos authentication, SAML and data security and privacy such as data masking and tokenization techniques

Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools

An in-depth experienceof Cloud solutions (AWS OR Azure ) 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.

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.