Solution Architect
Found in: Appcast Linkedin GBL C2 - 2 weeks ago
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
- 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
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.
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