Description

You will lead complex client engagements and design enterprise data architectures to solve business challenges.

Responsibilities

• Lead pursuit teams as a Data SME for RFP responses and proactive proposals.
• Facilitate workshops to map client requirements and constraints to modern technology platforms.
• Develop phased implementation roadmaps covering scope and resource requirements.
• Articulate complex architectures to technical teams and C-suite stakeholders to build consensus.
• Manage and lead distributed teams across multiple global locations and time zones.

Required Skills

• 5+ years of experience developing data strategies and architecting enterprise data architectures.
• Expertise in at least two hyperscale technologies: AWS, Azure, or GCP.
• Deep experience with cloud-based data warehouse or Lakehouse platforms like Snowflake or Databricks.
• Strong background in data modeling across various industries.
• Proficiency in Data Quality, Data Catalog, Data Lineage, and Master Data Management.
• Experience building new solutions from scratch and modernizing legacy architectures.
• Ability to architect for performance, scalability, and security.
• Familiarity with Data Governance concepts and DGO structures.
• Proven ability to communicate complex technical solutions to C-suite executives.
• Knowledge of emerging AI tools, technologies, and industry trends.

Key Skills

Education

Any Graduate