Pay Rate Range: $ 60.60 - 64.39/hr.Job Description:
•Provide hands-on leadership for Enterprise Data Platform Modernization initiatives, including current-state assessments, architecture transformation, migration planning, and modernization roadmaps.
•Lead customer workshops to understand business requirements, use cases, pain points, and future-state needs.
•Define Target State and Transition State Architectures for enterprise-scale data and analytics platforms.
•Lead architecture blueprinting, solution definition, and technology evaluation.
•Translate business requirements into technical capabilities, architecture artifacts, and implementation roadmaps.
•Drive technology selection and evaluation across cloud-native, open-source, and commercial platforms.
•Develop implementation strategies, effort estimates, infrastructure sizing, and cost models.
•Define data platform operating models, engineering practices, architecture standards, and governance frameworks.
•Provide guidance on scalability, performance, security, reliability, and operational excellence.
•Design modern data integration architectures, including CDC and event-streaming platforms.
•Apply Data Mesh and domain-oriented architecture principles to enable scalable, decentralized data ecosystems.
•Evaluate and recommend open-source technologies for enterprise adoption.
•Provide architectural guidance on Modern Data Platforms, AI, and Generative AI.
•Collaborate with business stakeholders, product teams, architects, and engineering teams throughout the engagement lifecycle.
•Support pre-sales activities, solution development, proposals, architecture reviews, and executive presentations.
•Mentor engineering and architecture teams on modern data platform technologies, architecture patterns, and best practices.
•Google Cloud Professional Cloud Architect and/or Professional Data Engineer Certification preferred.
Required Skills
•Java | Kafka | Python
•Good Communication skills
•Team Management, Onsite-offshore coordination
•Retail domain knowledge
•Google Cloud Platform (GCP)
•Data Platform Modernization
•Cloud Transformation Programs
•Enterprise Data Architecture
•Solution Architecture
•Modern Data Lakehouse Architectures
•Data Warehousing and Analytics Platforms
•Real-Time Data Integration and Streaming Architectures
•Event-Driven Architectures
•Data Modeling
•Information Architecture
•Architecture Blueprinting
•Technology Evaluation
•API and Integration Architecture
•Enterprise Integration Patterns
•Stakeholder Management
•Consulting Experience
•Strong Communication Skills
•Presentation Skills
•Client-Facing Skills
Skills: Digital : Python ~ Digital : Kafka ~ Digital : Databricks ~ Digital : PySpark
Experience Required: 10 & Above
| Skills: | | Category | Name | Required | Importance | Experience |
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| SkillCategoryTest1_MN | Digital : Python | Yes | 1 | >7 years | | | SkillCategoryTest1_MN | Digital : Kafka | No | 1 | >7 years | | | SkillCategoryTest1_MN | Digital : PySpark | No | 1 | >7 years | |
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