• Serve as the focal point for managing the delivery of CX interactions and corresponding metadata utilizing various data delivery methods. • Serve as the focal point for the development of pre-defined data structures for automated analysis of large sets of CX interactions across all channels (audio, chat, email, social, etc.). This includes: • Manipulation of CX interaction metadata into approved formats • Manipulation of CX interactions into the NiCE Interaction Analytics platform • Manipulation of CX transcripts • Utilize evolving tools from Research that support the development of the data structures. • Provide feedback to the Research and Product teams on how we continue to evolve tooling and data integration with CEA products. • Work with client requirements to understand new requests and how we can or cannot meet them. • Some team members may work directly with clients as a Subject Matter Expert to discuss data solutions, expectations and best practices. • Educate field teams (Consulting and Customer Success) on data solutions, definitions, best practices, etc. • Provide input on the use of developed data models for both Product and Field teams to optimize the use of developed data assets. • Manage the utilization of the CX Proof of Concept (POC) VM servers.

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! Job Overview: As a GCP Data Pipeline Developer & BigQuery Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines on Google Cloud Platform (GCP). Your role will involve working with BigQuery to analyze and optimize large datasets, as well as implementing ETL processes to ensure data quality and integrity. Proficiency in foundational GCP services, BigQuery, data engineering principles, SQL, and PySpark will be essential for success in this position. Additionally, experience with ETL tools such as Qlik Data Integration or FiveTran would be a valuable asset in this role. In this role, you will have the opportunity to work on complex data projects that require a deep understanding of cloud-based data processing and analysis. Your expertise in GCP and BigQuery will be crucial in developing efficient data pipelines that meet the organization's data processing needs. Strong SQL skills will be necessary for querying and manipulating data within BigQuery, while experience with PySpark will enable you to perform advanced data transformations and analytics. Overall, your ability to leverage these tools and technologies effectively will be key to driving data-driven decision-making within the organization. Key Responsibilities: - Develop and maintain GCP data pipelines. - Design and optimize BigQuery data structures. - Utilize SQL and PySpark for data processing. - Collaborate with team members on data engineering projects. - Implement ETL processes using tools like GCP Dataflow, Qlik Data Integration, or FiveTran. Here's What You Need: - Proficiency in foundational GCP services. - Strong experience with BigQuery. - Solid understanding of data engineering principles. - Advanced SQL skills for querying and manipulating data. - Experience with PySpark for data transformations and analytics. - Familiarity with ETL tools such as Qlik Data Integration or FiveTran. - Ability to design and implement scalable data solutions. - Strong analytical and problem-solving skills. - Excellent collaboration and communication skills. - US Citizenship required, No Dual Citizenship Bonus points if you have: - Experience with other cloud platforms and big data technologies. - Previous experience in a similar role within a data-driven organization. - Certifications related to GCP, BigQuery, or data engineering. As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is: $76,100—$136,700 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

• Architect Scalable Cloud Solutions: Lead the design and implementation of end-to-end GCP-based architectures covering data, applications, infrastructure, and security. • Build Robust Data Pipelines: Develop and maintain reliable ETL/ELT pipelines using tools like Airflow, DBT, and languages like Python and SQL. • Optimize BigQuery Warehousing: Design schemas, tune queries, and manage costs while working with large, complex datasets. • Ensure Data Quality & Governance: Implement standards for data accuracy, consistency, and lineage tracking. • Drive Performance & Efficiency: Monitor and optimize the performance and cost-effectiveness of cloud solutions. • Leverage Industry Knowledge: Apply your domain expertise to solve real-world retail, e-commerce, and supply chain challenges. • Maintain Security & Compliance: Build secure solutions aligned with privacy laws and industry best practices. • Lead & Mentor: Guide engineers, share best practices, and foster a culture of technical excellence. • Collaborate Across Teams: Work closely with stakeholders to define requirements and ensure solution success. • Document Clearly: Produce high-quality design docs, architecture diagrams, and best-practice guides.

• Design, develop, and maintain the enterprise data warehouse architecture to support reporting, analytics, and business intelligence initiatives. • Develop dimensional data models including fact tables, dimension tables, surrogate keys, and slowly changing dimensions using industry best practices. • Design and implement ETL/ELT pipelines to extract, transform, and load data from multiple operational systems into staging, transformation, and warehouse layers. • Ensure efficient processing on an ongoing basis including data consistency of data attributes, naming conventions, and element value types. • Optimize SQL queries, indexing strategies, and database performance to ensure efficient data retrieval and warehouse processing. • Automate, schedule, and monitor data integration jobs to ensure reliable and consistent data loading processes. • Ensure data accuracy, consistency, and integrity by implementing validation checks and reconciliation processes between source systems and the data warehouse. • Collaborate with business analysts, data analysts, and technical teams to translate business requirements into scalable data models and warehouse solutions. • Provide technical expertise for business intelligence and reporting tools such as Microsoft Power BI and other analytics platforms. • Document data warehouse architecture, data models, ETL processes, and data definitions to support long-term maintainability and governance. • Identify opportunities to improve data integration processes, warehouse performance, and reporting capabilities. • Support ongoing data governance and data quality initiatives across the organization.