Data Architect (AWS)

We are looking for a Senior Data Architect & Program Delivery Lead who can operate confidently across

two worlds

: legacy enterprise data platforms (especially

Informatica PowerCenter and Oracle

) and modern

AWS cloud data architecture

. This role is not a pure coding position and not a pure project management role. It requires someone who can

lead technical architecture discussions with engineers in English

, while also driving

program governance, delivery oversight, and stakeholder alignment

in a large-scale, multi-team, multi-vendor environment. You will own the technical direction of the migration, define and validate the target architecture, unblock engineering teams, and ensure delivery stays on track through strong governance and execution discipline.

1) Technical Architecture Leadership (AWS + Legacy) Design and validate

cloud-native data architectures

using AWS data services. Analyze and decompose complex

Informatica PowerCenter ETL workflows

and

Oracle data models

to define migration patterns and sequencing. Define the technical roadmap, drive

architectural decision records (ADRs)

, and ensure engineering best practices and standards. Review designs, code and infrastructure changes to ensure scalability, reliability, and maintainability. Troubleshoot high-impact technical issues across data pipelines, orchestration, and performance. Act as technical owner of the stack, including

PySpark, AWS Glue/EMR, S3, Redshift, Lake Formation, Informatica PowerCenter, Apache Iceberg, Terraform, SQL/Oracle, and Python

. 2) Delivery Leadership and Team Management Lead delivery execution across multiple agile teams, including planning, ceremonies, and delivery tracking. Manage and guide teams of

9 to 15 engineers

across different geographies and disciplines. Coordinate dependencies across workstreams and ensure teams are aligned on priorities and implementation approach. Drive quality standards and ensure deliverables meet expected technical and operational requirements. Communicate clearly and credibly with engineers and non-technical stakeholders, translating complexity into decisions and actions. 3) Program Governance and Stakeholder Management Own program governance across stakeholders, vendors, and subcontractors in a multi-party delivery model. Manage evolving scope, requirements, and expectations, ensuring transparency and decision clarity. Track progress against milestones, manage risks and blockers, and support resourcing and timeline planning. Provide clear reporting and updates to senior leadership and governance forums. Ensure coordination with partner organizations and accountability for third-party contributions. Required Qualifications Technical Background 3+ years of hands-on experience with

Informatica PowerCenter

in complex ETL environments. Strong

PySpark

skills for production-grade data transformations. Strong AWS data engineering knowledge, including

Glue, EMR, S3, Redshift, and Lake Formation

. Experience with

Apache Iceberg

or similar modern table formats (Delta Lake, Hudi). Infrastructure as Code experience, ideally

Terraform

. Strong

SQL and data modeling

skills (Oracle preferred). Delivery and Leadership Experience Proven track record leading

large-scale data migrations

involving multiple systems and high data volumes. At least 5 years managing agile data engineering or analytics teams (5 to 15 people). Experience working in

multi-vendor

or subcontractor delivery models. Strong experience leading distributed, international teams. Demonstrated ability to communicate technical concepts clearly to non-technical audiences. Communication and Soft Skills Strong

English communication

(spoken and written), comfortable leading architecture discussions with engineers. Proactive, solutions-oriented, and confident managing ambiguity and complexity. Strong stakeholder management and ability to influence decisions across senior audiences. Structured approach to governance, reporting, and delivery accountability. Preferred Qualifications Experience with

Azure or GCP

. Exposure to

data quality

frameworks and tools. Familiarity with BI and analytics tools (Power BI, Tableau, Qlik). Knowledge of DevOps practices (CI/CD, GitHub Actions). Experience with data governance or cataloging solutions. Experience migrating or extracting data from

SAP

. Enterprise data warehousing background (dimensional modeling). Domain experience in manufacturing or supply chain data is a plus. Certifications (Nice to Have) AWS Solutions Architect

(Associate or Professional). SAFe

,

PRINCE2

, or

PMP

. Si quieres, te la dejo también en 2 versiones más listas para publicar: versión más corta tipo LinkedIn post, versión “consulting style” para enviar a vendors. Is this conversation helpful so far?