Other Service Line - Program Manager - PRGMGR

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Company: Diamondpick

Location: Dallas, TX 75217

Description:

Job Description: PROGRAM MANAGER
Vendor Pay Rate: $85 to $95
Preferred: Onsite (Dallas, Texas) or atleast any other CVS office location - Hartford (CT) , Woonsocket (RI).

1.Job title : PROGRAM MANAGER 2.Job summary : 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 3.Experience : 10to14Yrs 4.Required Skills : ,Python,Spark,Data Integration & Access,Data Migration,Data Security,DevOps,Data visualization skills,Azure Services,GCP Services,Data Architect,Data Modelling,Cloud DWH,Data Governance & Compliance 5.Nice to have skills : 6.Technology : -Not Applicable 7.Shift : Day 8.Responsibilities : 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 hands-on 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 cross-functional teams within IT and business to identify the right solutions. Accountabilities include: Architecture and design reviews: Lead the design and implementation of end-to-end 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 cloud-based 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 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/ELT patterns, frameworks, and query techniques. Business Intelligence and Analytics: 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. Reference architecture and implementation: 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. 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, a
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