PricewaterhouseCoopers-posted 3 months ago
$99,000 - $232,000/Yr
Full-time • Manager
New York, NY
Professional, Scientific, and Technical Services

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

  • Analyse and identify the linkages and interactions between the component parts of an entire system.
  • Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
  • Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
  • Develop skills outside your comfort zone, and encourage others to do the same.
  • Effectively mentor others.
  • Use the review of work as an opportunity to deepen the expertise of team members.
  • Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
  • Uphold and reinforce professional and technical standards.
  • Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics.
  • Minimum of 5 years of experience in data architecture and engineering.
  • Design and implement comprehensive data architecture strategies that meet current and future business needs.
  • Develop and document data models, data flow diagrams, and data architecture guidelines.
  • Ensure data architecture is compliant with data governance and data security policies.
  • Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions.
  • Evaluate and recommend new data technologies and tools to enhance data architecture.
  • Lead and drive data strategy engagements providing thought leadership to client and internal tech stakeholders and leadership.
  • Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management.
  • Architect, design, build and optimize ETL/ELT pipelines for data ingestion, processing, and storage.
  • Develop frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management.
  • Strong proficiency in SQL and experience with relational databases.
  • Proficient in programming languages such as Python, Java, or Scala.
  • Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus.
  • Experience with machine learning and data science workflows is a plus.
  • Medical, dental, vision insurance.
  • 401k plan.
  • Holiday pay.
  • Vacation.
  • Personal and family sick leave.
  • Annual discretionary bonus.
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