Data Engineer - Manager

About the role

PwC's data and analytics engineering team focuses on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Our managers play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Responsibilities

• Design and implement thorough data architecture strategies
• Lead the development of data models
• Achieve compliance with data governance 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
• Build, maintain, and improve ETL/ELT pipelines for data ingestion, processing, and storage
• Manage data warehouses and data lakes, verifying data is organized and accessible
• Implement data integration solutions using AWS, Azure, and GCP services
• Maintain and improve data quality rules using DQ tools and/or other ETL/ELT tools
• Deploy scalable data storage solutions using AWS, Azure, and GCP services
• Implement data security practices using AWS, Azure, GCP, Snowflake, or Databricks
• Monitor and troubleshoot data pipelines, data warehouses, and workflows to ensure data quality, system reliability, performance, and cost management
• Manage IAM roles and policies to control access and permissions within AWS, Azure, and GCP
• Use infrastructure as code (IaC) tools like AWS CloudFormation, Azure Resource Manager, and Terraform for deployments
• Build and deploy DevOps pipelines using AWS, Azure, and GCP DevOps services
• Improve cloud resources for cost, performance, and scalability

Requirements

• Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics
• 5 years of experience

Qualifications

• Experience designing and implementing thorough data architecture strategies
• Experience developing and documenting data models, data flow diagrams, and data architecture guidelines
• Experience verifying data architecture compliance with data governance and data security policies
• Experience collaborating with business stakeholders to understand their data requirements and translate them into technical solutions
• Experience evaluating and recommending new data technologies and tools to enhance data architecture
• Experience building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage
• Experience managing data warehouses and data lakes, verifying data is organized and accessible
• Experience implementing data integration solutions using AWS, Azure, and GCP services
• Experience designing and managing data warehouses and data lakes, verifying data is organized and accessible
• Experience implementing data security practices using AWS, Azure, GCP, Snowflake, or Databricks
• Experience monitoring and troubleshooting data pipelines, data warehouses, and workflows to ensure data quality, system reliability, performance, and cost management
• Experience managing IAM roles and policies to control access and permissions within AWS, Azure, and GCP
• Experience using infrastructure as code (IaC) tools like AWS CloudFormation, Azure Resource Manager, and Terraform for deployments
• Experience building and deploying DevOps pipelines using AWS, Azure, and GCP DevOps services
• Experience improving cloud resources for cost, performance, and scalability
• Proficiency in SQL and experience with relational databases
• Proficiency in programming languages such as Python, Java, or Scala
• Familiarity with big data technologies like Hadoop, Spark, or Kafka
• Experience with machine learning and data science workflows
• Knowledge of data governance and data security practices
• Strong analytical, problem-solving, and communication skills
• Ability to work independently and as part of a team in a fast-paced environment
• Ability to research emerging trends, analyst publications, and adopt modern technologies in solution architectures
• Ability to coach and collaborate with associates who assist with this work

Skills

• Analysis and identification of linkages and interactions between components of an entire system
• Ownership of projects, ensuring successful planning, budgeting, execution, and completion
• Collaboration with team leadership to ensure collective ownership of quality, timelines, and deliverables
• Development of skills outside one's comfort zone and encouragement of others to do the same
• Mentoring and guiding team members to deepen their expertise
• Addressing conflicts or issues, engaging in difficult conversations with clients, team members, and other stakeholders, and escalating where necessary
• Upholding and reinforcing professional and technical standards, the Firm's code of conduct, and independence requirements

Benefits

The salary range for this position is $99,000 - $232,000. 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.