EY - GDS Consulting - AI and DATA - Data Architect - Manager
ey
Job Description
- Architecture & Solutioning
- Drive customer interactions to understand business needs, pain points, and solution expectations.
- Shape and present cloud‑based data architecture options that balance feasibility, scalability, and cost.
- Develop clear solution outlines, architecture diagrams, and value messaging for pre‑sales pursuits.
- Recommend data ingestion, transformation, governance, and consumption patterns aligned to modern architecture principles.
- Support creation of POCs, demos, and technical accelerators to strengthen proposal impact.
- Pre‑Sales Engagement & Deal Support
- Partner with sales and senior architects to define solution scope, craft technical responses, and support RFP/RFI submissions.
- Prepare effort estimates, delivery approaches, and high‑level work breakdowns for client proposals.
- Deliver concise, compelling technical presentations and walkthroughs to influence client decisions.
- Collaborate with pursuit teams to differentiate EY’s solution through clarity, innovation, and practical implementation insights.
- Technical Depth & Delivery Alignment
- Bring prior delivery experience to ensure solutions are implementable, scalable, and aligned with engineering best practices.
- Collaborate with delivery teams to validate estimates, identify risks, and define resourcing requirements.
- Contribute hands‑on when needed by building data pipelines, models, and integration components using PySpark, SQL, Python, and cloud services.
- Ensure pre‑sales solutions translate seamlessly into delivery-ready architectures.
- Governance, Standards & Best Practices
- Apply relevant patterns such as ETL/ELT, streaming, Lakehouse, CDC, and dimensional modelling where appropriate.
- Incorporate data governance, quality, lineage, and cataloging principles into all proposed solutions.
- Ensure consistency with security, performance, and compliance requirements across cloud ecosystems.
- Collaboration & Internal Enablement
- Work cross‑functionally with engineering, cloud, and domain teams to shape winning solution strategies.
- Mentor team members by sharing best practices, reusable templates, and architecture patterns.
- Help strengthen the practice by contributing to collaterals, frameworks, and repeatable pre‑sales assets.