Senior DataInformation Architect

The Senior Data/Information Architect will lead the design and implementation of enterprise data architecture solutions for key strategic initiatives. As the chief SME architect you will leverage your extensive expertise in data architecture governance integration and analytics to deliver handson solutions that align with business outcomes. This role requires a combination of technical expertise strategic thinking and leadership skills to guide data and BI analytics initiatives ensuring data strategies are aligned with business goals and that PSS data is accessible secure and valuable across the organization. You will also play a pivotal role in advancing the organizations modernization journey in alignment with the Enterprise data strategy. A key to success in this role is a unique blend of data management skills business knowledge and the ability to work with and influence multiple crossfunctional teams within IT and business to identify the right solutions.
Accountabilities include:
Architecture and design reviews: Lead the design and implementation of endtoend scalable secure and efficient data/information architectures across the PSS Data LOB. Play a key leadership role in architecture design reviews identifying gaps and recommending design changes. Actively lead and participate in the architecture community to drive modernization opportunities for the advancement of PBM technology while considering the complexities of our IT landscape. 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 cloudbased systems. Drive architecture reviews identify gaps and recommend design improvements. Data Integration & Management: 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 realtime 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/ELT patterns frameworks and query techniques. Business Intelligence and Analytics: Collaborate with data engineering 81 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. Reference architecture and implementation: Providing leadership in assembling reference architectures to support cloud migration and cloudnative applications. Develop and maintain architecture design documents roadmaps design patterns and usecase driven designs. Leadership and Innovation: 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. Technology Evaluation and Selection: Lead build vs buy analysis and recommend tools and technologies based on qualitative and quantitative evaluations. Oversee proofsofconcept and deepdives into partner technologies. Collaboration & Stakeholder Engagement: 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. 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. Cost optimization identification: Collaborate with stakeholders to identify opportunities to reduce costs through simplification configurability and reduction of technical debt.
Growth: Opportunity to expand towards leadership role as relevant and appropriate performance and skillbased opportunity.
Required Qualifications
10 years of experience in designing developing and managing largescale data architectures including data lakes data warehouses and cloud environments (Azure preferably Google Cloud)
8 years of experience in cloud nativedata architectures data integration APIbase data integration ELT/ETL batch and realtime data processing.
Expertise in cloud design and architecture (Azure AWS preferably GCP) to deliver largescale distributed solutions.
Strong business acumen with the ability to align data/information architecture strategies with business objectives.
Proven leadership in crossfunctional teams and fostering datadriven culture..
Extensive knowledge of data modeling data governance database design data warehousing ETL/ELT processes and data technologies (e.g. Spark relational and NoSQL databases).
Proficiency with data architecture tools and platforms (e.g. ERwio Kafka Redis) and familiarity with cloud data services (e.g. AWS Azure Google Cloud).
8 years of experience in Python and modern data platforms like BigQuery Redshift 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.
Preferred Qualifications:
Indepth knowledge of data management data governance frameworks data cataloging and master data management.
Handson coding experience in data integration technologies (onprem & cloud) and modern technology stacks (Cloud DevOps Kafka etc.
Indepth experience with security frameworks including encryption access controls and compliance with regulatory requirements. Skilled in enterprise tools (DevSecOps DataOps) agile methodologies and productdriven 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 problemsolving abilities to complex data and analytics challenges.
Proven experience in driving adoption of cloudnative/cloudfirst architectures.
Excellent communication skills engaging both technical and nontechnical 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.
Ability to teach and upskill talent within the organization.
Thought leadership and mentoring.
Excellent communication skills.
Deep collaboration skills: Ability to work as a team player seeking alignment and able to influence business outcomes.
Bachelors degree in computer science or related field.
Masters degree in computer science or related preferred