Expert, Data Platform Architect

Overview
As a Data Solution Architect within the Data Services organization, you will play a key role in designing and implementing scalable, cloud-based data platforms that support advanced analytics and data governance.

You'll collaborate with cross-functional teams to ensure architectural standards are met and drive innovation in data ingestion and management.
Key Responsibilities


* Architect and implement data solutions aligned with cloud strategies and business needs.


* Design and engineer data lake environments including data source identification, extraction, modeling, and user self-service capabilities.


* Conduct governance and quality assurance reviews to ensure compliance with architectural standards.


* Lead proof-of-concept initiatives to evaluate emerging technologies and define future roadmaps.


* Mentor and support global and regional Data Services teams with methodologies, tools, and technical expertise.


* Collaborate with Data Governance and PMO teams to ensure process adherence and delivery excellence.


* Provide feedback to improve data acquisition, warehousing methodologies, and tooling.


* Stay informed on product features and contribute to value realization.

Qualifications
Education & Experience:


* Bachelor's degree in Computer Science, IT, or related field; or equivalent experience.


* 7+ years of progressive experience in data architecture and platform engineering (or 4+ years with a Master's degree).

Technical Skills:


* Hands-on experience with AWS services: S3, KMS, Lambda, Glue/Spark, SQS, EventBridge.


* Strong programming skills in Python, Scala, or Java; familiarity with OOP and functional principles.


* Proficient in AWS networking (VPC, subnets, routing, NAT gateways, security groups) and IAM (roles, policies, cross-account access).


* Solid understanding of Spark architecture and performance tuning.


* Advanced SQL skills; experience with Redshift, Athena, or similar distributed engines.


* Experience with Terraform, Git/GitHub workflows, CI/CD tools (e.g., Jenkins).


* Familiarity with data lake architectures, data governance, and monitoring tools (e.g., CloudWatch).


* Knowledge of NoSQL databases (e.g., DynamoDB, MongoDB).


* Experience with data integration and quality tools across no-code, low-code, and code-first platforms (e.g., Alteryx, Trifacta, Informatica, Databricks).

Business & Interpersonal Skills:


* Strong communication and presentation skills, especially for complex technical topics.


* Effective collaboration with globally dispersed stakeholders.


* Ability to manage competing priorities in a fast-paced environment.


* Data-driven mindset with clear problem-solving and decision-making capabilities.


* Team-oriented with leadership and delegation skills.

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