Principal Data/Information Architect

Principal Data/Information Architect

Requirements

• 10+ years of experience in designing, developing, and managing large-scale data architectures, including data lakes, data warehouses and cloud environments (Azure, preferably Google Cloud)
• 8+ years of experience in cloud native-data architectures, data integration, API-base data integration, ELT/ETL, batch, and real-time data processing. Expertise in cloud design and architecture (Azure, AWS, preferably GCP) to deliver large-scale distributed solutions.
• Strong business acumen with the ability to align data/information architecture strategies with business objectives.
• Proven leadership in cross-functional teams and fostering data-driven culture.
• 8+ years of experience in Python and modern data platforms like BigQuery, Spark, Cloud SQL, DataProc, Cloud Storage & Dataflow/Data Fusion.
• 8+ years of experience in SQL/NoSQL databases, cloud databases, and data streaming technologies (Kafka).
• 8+ years of experience in orchestration tools (Airflow, Cloud Composer) and experience in CI/CD pipelines, automation, and DevOps practices.

Responsibilities

• Lead the design and implementation of end-to-end scalable, secure, and efficient data/information architectures across the PSS Data LOB.
• Develop strategies for data storage, integration, and retrieval across structured and unstructured data systems.
• Establish data models and architecture that support data lakes, data warehouses, and cloud-based systems.
• Drive architecture reviews, identify gaps and recommend design improvements.
• Design solutions that enable the seamless data flow between source systems, applications, and cloud platforms.
• Guide data lifecycle management, from data collection, processing, storage, archival and disposal.
• Develop real-time and batch processing solutions that enables effective analytics and reporting.
• Foster data integration and interoperability, enabling seamless data sharing by solving complex data integration problems using optimal ETL patterns, frameworks, and query techniques.
• Collaborate with data engineering, BI, analytics, and data science teams to ensure data architecture supports business needs.
• Lead the development of data models and architectures that empower business users to derive actionable insights.
• Providing leadership in assembling reference architectures to support cloud migration and cloud-native applications.
• Develop and maintain architecture design documents, roadmaps design patterns, and use-case driven designs.
• Provide oversight from project inception to delivery, guiding data engineers, BI engineers, data modelers, and architects.
• Stay updated on industry trends and emerging technologies data/information architecture, cloud computing, big data, analytics, and AI.
• Lead build vs buy analysis and recommend tools and technologies based on qualitative and quantitative evaluations.
• Oversee proofs-of-concept and deep-dives into partner technologies.
• Work with business leaders, data stewards, security, digital, and engineering teams to ensure alignment with business objectives.
• Mentor and coach data engineers and architects and contribute data governance, ensuring data integrity, quality, security, and compliance.
• Ensure data/information architectures meet security, privacy, and regulatory requirements.
• Implement robust data security frameworks, including encryption, data masking, and access controls.
• Collaborate with stakeholders to identify opportunities to reduce costs through simplification, configurability, and reduction of technical debt.

Preferred Qualifications

• In-depth knowledge of data management, data governance frameworks, data cataloging, and master data management.
• Hands-on coding experience in data integration technologies (on-prem & cloud) and modern technology stacks (Cloud, DevOps, Kafka, etc.)
• In-depth experience with security frameworks, including encryption, access controls and compliance with regulatory requirements.
• Skilled in enterprise tools (DevSecOps, DataOps), agile methodologies, and product-driven approaches for rapid development and iteration of data architectures to meet evolving business needs.
• Familiar with data frameworks such as Data Fabric, Data Mesh, Data Lakehouse, Lambda architectures.
• Strong problem-solving abilities to complex data and analytics challenges.
• Proven experience in driving adoption of cloud-native/cloud-first architectures.
• Excellent communication skills, engaging both technical and non-technical stakeholders.
• Strong Knowledge in BI Tools MicroStrategy, Tableau, Thoughtspot and PowerBI.
• Proven leadership in data modernization or digital transformation initiatives.
• Experience in regulated industries with compliance requirements.
• Healthcare/PBM industry experience *strongly* preferred.