GCP Solution Architect

EXL; Hyderabad, Pune District, New Delhi; Hybrid; INR 2,800,000 - 4,200,000; Full time

Job summary

EXL is seeking a Solution Architect with 10+ years of experience to lead enterprise cloud architectures and data platforms. The role involves designing scalable data models and driving migrations to cloud environments across multiple engagements.

You will collaborate with engagement and project managers, provide technical leadership, and guide teams through data integration, governance, and testing strategies. Hybrid work with global EXL locations is expected.

Qualifications

• 10+ years of experience in solution architecture and cloud design.
• Experience designing enterprise data models and data lake/warehouse solutions.
• Proven track record with cloud migrations and data integration tooling.

Responsibilities

• Lead technical teams to design, document, and implement cloud-based solutions.
• Conduct feasibility assessments, estimations, and POC development for workloads on Cloud.
• Define end-to-end solution vision and migration approaches (On-Prem to Cloud).
• Create data integration architectures, data mappings, and data dictionaries.
• Collaborate with business users to analyse requirements and validate designs.

Skills

Cloud Architecture

Data Modeling

Big Data

Cloud Platforms

CI/CD

Kubernetes

Docker

SQL Databases

Data Governance

Leadership

Tools

Azure DevOps

Terraform

AWS CodePipeline

AWS CodeCommit

Informatica PowerCenter

DataStage

Sqoop

Kubernetes

Job description

Role: Solution Architect

Experience: 10+ Years

Location: All EXL Location

Work Mode: Hybrid

Job Summary

• The Cloud Architect will provide technical expertise in analysis, design, development, rollout and maintenance of enterprise architecture, data models and solutions.
• This position works closely with engagement managers and project managers to ensure the successful delivery of engagements for clients. Leads client assessments, preparing future state architectures along with go forward recommendations.
• Provides technical expertise in needs identification, data modelling, data movement and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.
• Leadership not only in the conventional sense, but also within a team we expect people to be leaders.
• Candidate should elicit leadership qualities such as Innovation, Critical thinking, optimism/positivity, Communication, Time Management, Collaboration, Problem-solving, Acting Independently, Knowledge sharing and Approachable.

Essential Duties

• Leads technical teams in designing, documenting and implementing technical solutions for business problems
• Executing technical feasibility assessments, solution estimations and POC development for moving identified workloads to Cloud Review/develop/enhances and implements enterprise data management architectures in GCP that meet all client business needs As a key member of the team, ensure success in designing, building and migrating applications, software, and services on the Cloud platform. Formulates workable solutions that integrate people, process and technology. Integrates competency leads and other subject matter experts to define the details of vision and solution
• Identifies, creates and communicates the vision of the end-to-end solution for the client and implementation teams after completing thorough evaluations of the present state needs
• Develop a migration approach to move workloads from On-Premises to Cloud or develop new cloud-ready application solutions
• Design and develop conceptual / logical / physical data models for building large scale data lake and data warehouse solutions Understanding of data integration processes (batch or real-time) using tools such as Informatica PowerCenter and/or Cloud, Microsoft SSIS, MuleSoft, DataStage, Sqoop, etc.
• Create functional & technical documentation e.g. data integration architecture documentation, data models, source to target mapping, data dictionaries, data integration specifications, data testing plans, etc.
• Collaborate with business users to analyse and test requirements
• Stays current with emerging and changing technologies to best recommend and implement beneficial technologies and approaches for Data Architecture
• Proven experience in solving mission-critical business and technology problems and provide solutions which centre on the consumption of the Cloud Platform
• Supports Delivery Enablement and Practice Leads by ensuring appropriate linkage between practices is clear and well understood
• Works with practice leads to develop project estimating methodologies for new areas of focus
• Participates in strategy development and current state assessments for clients to identify opportunities. Acts as proxy for practice leads when necessary
• Works with client to sell the proposed solution and develop internal marketing programs.
• Develops comprehensive project, implementation, and resource plans working closely with Engagement and Project Managers

Preferred Skills & Experience

• Experience with Big Data technologies, platform, and solutions
• Good understanding of and experience in architecting, designing and implementing on Cloud platform (IaaS/PaaS/SaaS) at scale
• Should be able to foresee any risks associated with migration projects and flag the risk
• Experience in using CI and CD tools/services such as Azure DevOps, Terraform, AWS CodePipeline, AWS CodeCommit or Similar. Experience and working knowledge of Virtualization, Networking, Data Center, and Security
• Strong hands-on experience in integrating multiple databases like SQL Server, PostgreSQL, Oracle, BigQuery, Redshift, Synapse etc. Familiarity with DB designing / Migration desirable.
• Experience in Kubernetes, Docker, and other cloud deployment, container technologies
• Experience with business intelligence, data integration, and SQL database implementations
• Experience leading project and development teams in design and development of complex systems.
• Experience with waterfall and agile development methodologies. Experience with data governance including data quality and master data management
• Experience with computer security, networking, and compute (virtual or physical) technologies
• Comprehensive understanding of relational databases and technical documentation
• Ability to analyse business requirements as they relate to the data movement and transformation processes, research, evaluation and recommendation of alternative solutions.
• Ability to transform business requirements into technical requirement documents.
• Ability to run conceptual data modelling sessions to accurately define business processes, independently of data structures and then combines the two together.
• Understands modern data warehouse concepts (real-time, cloud, Big Data) and how to enable such capabilities from a reporting and analytic stand-point.
• Demonstrated ability to serve as a trusted advisor that builds influence with client management beyond simply EDM