Liberty Insurance Pte Ltd Looking for Solutions Architect at Mumbai, Maharashtra Full Time

The Liberty Mutual US Technology Data and Analytics Engineering (DAE) team is seeking a passionate Solution Architect for its Data Strategy & Design (DS&D) team to design our multi-year data & technology strategy for a holistic data ecosystem enabling business and technology capabilities through solutions in data management, Lakehouse, Business Intelligence, Data Science/Advanced Analytics via cloud technologies. This individual will work within the Data and Analytics Engineering (DAE) group within Global Retail Markets (GRM) US Technology supporting Global East & West Analytics Architecture.

As a Solutions Architect you’ll be responsible for guiding the development of system, technical and product standards based on business plans and long-term strategies, while working in an agile environment that has the creative energy of a start-up—and the full backing and comprehensive benefits of a Fortune 100 company.

What you will do:
Enable business and IT vision through creation of new strategy and designs to span all data platforms (relational, NoSQL) and data tools (Data Visualization, Data Catalog, Data Virtualization and Advanced Analytics/Data Science)

Collaborate with a team of senior data technologists, data designers, and data modelers charged with providing emerging technologies and designs to incubate and test new solutions, create implementation, operationalization approach and to ensure consistent application across DAE solutions.

Partnering with architects develop business and DAE aligned detailed plans, multi-year roadmap, data/technology solutions, repeatable data designs and patterns to transition the analytics ecosystem from current state architecture to interim and then future state

Communicate a clear, consistent technology vision within the Data Analytics and Engineering (DAE) space through collaboration, influence, and enablement

Lead the technical roadmap for aligned teams with an agile mindset

Stay informed on initiatives across the enterprise to help product owners and IT leadership effectively prioritize

Influences the prioritization of enhancements to ensure applications are modernized and maintained to support growth, business development and to meet the long-term product vision

Identify and assess the organizational impact of enterprise architecture and standards, including change in skills, processes and structures

Motivated mentor: With approachability and partnership being key, leverage your technical expertise and experience to coach and collaborate with our Agile software engineers at all levels.

Lead by example: Has the desire and drive to be a hands-on Engineer advancing the data product features and functions to the end customer while promoting a culture of continuous improvement and innovation by finding solutions that increase efficiency, accelerate the adoption of new technologies and enhance profitability

Strategic partner: You will partner closely with the Director, Scrum Master, and aligned Architect to help guide, lead, and influence the work aligned to the agile squads

Explore and lead proof of technology of new and emerging technologies to support business or technology needs.

What you will need:
10 or more years of hands-on big data, data warehouse and/or analytics data engineering experience using RDBMS and NoSQL data platform technologies, ETL and Data ingestion protocols

Extensive knowledge of contemporary data warehousing techniques, ETL/ELT tooling and methods

A history of leadership building sustainable patterns and standards

A comprehensive understanding of agile environments

Experience working with cloud platforms including AWS; Server less, REST API

Experience using job orchestration tools (e.g., Airflow, Control-M, CA ESP)

Experience developing or architecting performant, cost efficient, and scalable data products and solutions

Expertise in a wide variety of database technologies, preferably Snowflake

Practical knowledge of and experience with continuous integration and deployment (e.g., Jenkins)

Experience in these areas is a plus:
Experience in Data modeling (Facts & Dimensions, Data Vault 2.0 models)

Experience working with Data Warehouse automation tools (e.g., Vault Speed, WhereScape, coalesce.io)

Experience with enterprise logging and observability platforms (e.g., Splunk, DataDog, AppD)

Experience with containerized applications using Docker, Kubernetes or other similar tooling

Experience as an enterprise architect and in the introduction of enterprise architecture management

Certification in TOGAF or experience in implementing TOGAF standards

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