• Oversee the design, development, and implementation of data management, reporting, workflow automation, and system integration solutions that support Head Start and Early Head Start programs • Lead data projects, infrastructure, and automation initiatives to improve grant administration, operational efficiency, data quality, and decision-making while ensuring systems are scalable, secure, and reliable • Provide technical leadership, project oversight, and continuous improvement efforts to deliver innovative data solutions that support organizational performance and improve outcomes for children and families • Manage complex data engineering projects from planning through deployment, ensuring solutions are scalable, secure, reliable, and aligned with business requirements • Design and maintain data pipelines, ETL processes, databases, data warehouses, and reporting systems • Develop and manage API integrations and automated workflows across multiple systems and platforms • Establish and enforce data governance, data quality, security, and compliance standards • Collaborate with stakeholders to gather requirements and translate business needs into technical solutions • Monitor system performance, troubleshoot issues, and implement process and technology improvements • Prepare technical documentation, reports, and presentations for leadership and stakeholders

• Continuously monitor batch, streaming and on-demand data pipelines to ensure availability and data quality. • Identify, analyze and resolve operational incidents and critical failures in data environments. • Perform advanced troubleshooting by analyzing logs, metrics and alerts on GCP platforms. • Monitor and support data workflows, including DAGs, reprocessing, dependencies, and load validations. • Track execution of processes in Dataproc, Spark, BigQuery and other components of the data architecture. • Collaborate with Data Engineering, Architecture, Governance and Business teams to resolve issues and drive continuous improvements. • Contribute to the stability, reliability and evolution of data environments. • Prepare and maintain incident documentation, root cause analyses (RCA), operational procedures and action plans. • Participate in automation, observability and operational process optimization initiatives.

• Build and manage reliable data pipelines involving ingestion/collection, processing, integration, storage, and data availability across the organization • Work within a distributed systems architecture for massively parallel (MPP) data processing, combining diverse heterogeneous data sources and collaborating with analytics and data science teams to build solutions and generate data-driven value

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. In testing and quality assurance at PwC, you will focus on the process of evaluating a system or software application to identify any defects, errors, or gaps in its functionality. Working in this area, you will execute various test cases and scenarios to validate that the system meets the specified requirements and performs as expected. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Managed Services team you will maintain the integrity and quality of data through advanced testing and validation processes. As a Senior Associate you will analyze complex problems, mentor junior team members, and build meaningful client relationships while navigating the intricacies of data management. This role offers the chance to deepen your technical knowledge and enhance your personal brand in a dynamic environment focused on delivering client solutions. Responsibilities - Analyze intricate issues and develop impactful solutions - Mentor and guide junior team members in their professional growth - Cultivate substantial relationships with clients to understand their needs - Contribute to the delivery of exceptional client solutions - Foster a culture of continuous improvement and excellence What You Must Have - Bachelor's Degree - At least 8 years of experience What Sets You Apart - Certification(s) preferred: DAMA Certified Data Management Professional (CDMP), AWS Certified Data Engineer - Associate, SnowPro Core, ISTQB Test Analyst / Certified Big Data Tester (ATA), Informatica Data Quality (IDQ) or equivalent ETL tool certification - Demonstrating advanced SQL skills for data validation - Utilizing Python for test automation and data validation - Understanding enterprise data concepts and governance - Demonstrating experience with cloud platforms like AWS and Azure - Demonstrating a foundation in data modeling, including database schemas, normalization, and relational design - Demonstrating hands-on ETL testing experience, including AWS Glue job development, orchestration, and end-to-end data pipeline validation - Utilizing data ingestion and orchestration tools such as Qlik, Airflow, or Prefect - Understanding of industry standards for data and QA The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Learn more about how we work: https://pwc.to/how-we-work For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.