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Jobs · Information Technology · California

Data Engineer - Manager

PwC · San Diego, CA · 1 wk ago
HybridInformation Technology$99k–$232k/yrFull-time

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 across batch and real-time data processing
  • Develop and document data models, data flow diagrams, and data architecture guidelines
  • Verify data architecture is compliant with data governance and data security policies
  • Implement data integration solutions using AWS, Azure, and GCP services
  • Manage data warehouses and data lakes, verifying data is organized and accessible
  • Monitor and troubleshoot data pipelines, data warehouses, and workflows to verify data quality, system reliability, performance, and cost management
  • Implement IAM roles and policies to manage access and permissions within AWS, Azure, and GCP
  • Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments
  • Build and deploy DevOps pipelines using AWS, Azure, and GCP DevOps services
  • Implement data security practices using AWS, Azure, GCP, Snowflake, or Databricks
  • Improve Cloud resources for cost, performance, and scalability
  • Proficiency in SQL and experience with relational databases
  • Experience with programming languages such as Python, Java, or Scala
  • Familiarity with big data technologies like Hadoop, Spark, or Kafka
  • Knowledge of data governance and data security practices
  • Analytical, problem-solving, and communication skills
  • Ability to work independently and as part of a team in a fast-paced environment
  • Modern, cloud-based technology skills
  • Collaboration and contribution as a team member

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

  • Designing and implementing thorough data architecture strategies that meet the current and future business needs
  • Developing and documenting data models, data flow diagrams, and data architecture guidelines
  • Verifying data architecture is compliant with data governance and data security policies
  • Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions
  • Evaluating and recommending new data technologies and tools to enhance data architecture
  • Building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing
  • Developing and deploying scalable data storage solutions using AWS, Azure, and GCP services
  • Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow, and other relevant services
  • Managing data warehouses and data lakes, verifying data is organized and accessible
  • Monitoring and troubleshooting data pipelines, data warehouses, and workflows to verify data quality, system reliability, performance, and cost management
  • Implementing IAM roles and policies to manage access and permissions within AWS, Azure, and GCP
  • Using AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments
  • Building and deploying DevOps pipelines using AWS, Azure, and GCP DevOps services
  • Implementing data security practices using AWS, Azure, GCP, Snowflake, or Databricks
  • Improving Cloud resources for cost, performance, and scalability
  • Proficiency in SQL and experience with relational databases
  • Experience with programming languages such as Python, Java, or Scala
  • Familiarity with big data technologies like Hadoop, Spark, or Kafka
  • Knowledge of data governance and data security practices
  • Analytical, problem-solving, and communication skills
  • The ability to work independently and as part of a team in a fast-paced environment
  • Modern, cloud-based technology skills
  • Collaboration and contribution as a team member

Skills

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

Benefits

At PwC, we offer a comprehensive benefits package including medical, dental, vision, 401(k), holiday pay, vacation, personal and family sick leave, and more. For more information, please visit our benefits page: https://pwc.to/benefits-at-a-glance.

Pay

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.

Equal Opportunity Employer

PwC is an equal opportunity employer and does not discriminate against any applicant based on race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); 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. For those 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.

Contact Us

To learn more about how we work, please visit: https://pwc.to/how-we-work. For information about anticipated application deadlines, please visit: https://pwc.to/us-application-deadlines.

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