Description

You will lead the design, evaluation, and selection of enterprise data solutions and drive multi-year transformation roadmaps.

Responsibilities

• Drive solution architecture design, buy vs. build decisions, and early-phase project estimates to support business cases.
• Partner with business and technology stakeholders to shape enterprise data and analytics strategies and architecture standards.
• Define data and technology architecture patterns across on-prem, hybrid, and cloud environments.
• Oversee data management, warehousing, integration, and delivery across assigned initiatives.
• Lead presales efforts by developing point-of-views, solution approaches, and pitches for large-scale opportunities.
• Conduct architecture reviews with internal and client teams to ensure alignment with business objectives.

Required Skills

• 5+ years of experience in Enterprise Data Architecture and Solution Architecture.
• Proven track record building large-scale enterprise data architectures using commercial or open-source technologies.
• Strong cloud architecture expertise in Azure, AWS, or GCP with at least 2-3 years of hands-on cloud project experience.
• Deep knowledge of data modeling, including data warehousing, normalization, dimensional modeling, and Data Vault.
• Hands-on experience with Databricks, Snowflake, Talend, dbt, or Data Virtualization tools.
• Extensive experience with Big Data, Data Warehouse, and Data Analytics platforms.
• Experience in the Banking, Financial, or Insurance sectors.
• Ability to engage with CXOs and senior leadership to develop data strategies.
• Strong background in platform engineering and developer experience.

Key Skills

Education

Any Graduate