Managed Services - Data Engineer (Databricks & Kafka) - Senior Associate

Industry/SectorNot ApplicableSpecialismManaged ServicesManagement LevelSenior AssociateJob Description & SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.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 OpportunityAs part of the Managed Data, Analytics & Insights team you are expected to design and implement innovative solutions to build and manage the advanced Data ecosystem. As a Senior Associate you are responsible for analyzing complex problems, mentoring others, and maintaining top standards. You are expected to focus on building client relationships and developing a deeper understanding of the business context, while navigating increasingly complex situations and growing your personal brand and technical proficiency.Responsibilities- Designing and implementing innovative data solutions- Building and managing advanced data ecosystems- Analyzing complex problems and developing solutions- Mentoring and guiding junior team members- Maintaining exceptional standards in deliverables- Building and nurturing client relationships- Developing a deeper understanding of business contexts- Navigating complex situations to deliver quality workWhat You Must Have- Bachelor's Degree- 10 years of experienceWhat Sets You Apart- Bachelor's Degree in Computer and Information Science, Information Technology preferred- Certification in industry-leading tools or technology for Data and Analytics- Leading data architecture and design implementations- Building advanced Data warehousing solutions- Delivering Managed Data and Analytics programs- Designing scalable data structures and pipelines- Building streamlined ETL/ELT processes- Maintaining Data Governance solutions- Experience with Data analytics toolsTravel RequirementsUp to 60%Job Posting End DateThe 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: 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: more about how we work: 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.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: GA-Atlanta; MI-Grand Rapids; IN-Indianapolis; NC-Raleigh; NC-Charlotte; FL-Jacksonville; OH-Cincinnati; OH-Cleveland; SC-Columbia; MO-Kansas City; OH-Columbus; TX-Dallas; NV-Las Vegas; AR-Little Rock; MD-Baltimore; VA-Richmond; KY-Louisville; AL-Birmingham; MO-St. Louis; FL-Tampa; OH-Toledo; TX-Austin; FL-Miami; WI-Milwaukee; MN-Minneapolis; CO-Denver; IA-Des Moines; TN-Nashville; MI-Detroit; LA-New Orleans; NY-Buffalo; NC-Greensboro; PA-Pittsburgh; TX-HoustonType: Full time