Technical Lead / Architect

• Must Have Technical/Functional Skills
• Python, PySpark, Databricks
• Java/Kafka, Spark, Cassandra, Graph QL
• Proven expertise in Data Platform Modernization and Cloud Transformation programs.
• Modern Data Lakehouse Architectures
• Real-Time Data Integration and Streaming Architectures.
• Architecture Blueprinting and Technology Evaluation
• Strong communication, presentation, and client-facing skills
• Roles & Responsibilities
• 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 estimate, infra sizing & cost model
• Define data platform operating models, engineering practices, architecture standards, and governance frameworks.
• Guidance on scalability, performance, security, reliability & operational excellence
• Design modern data integration architectures, including CDC & 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
• Discretionary Annual Incentive.

None flagged.