AWS Data and AI Consultant
PwC
Job Summary
PwC is seeking an AWS Data and AI Consultant to join its Cloud, Data & AI practice. This role involves designing and implementing scalable, secure, and resilient data architectures on AWS to enable actionable insights and operational efficiencies for clients. You will work with business leaders, data scientists, and technologists to solve complex challenges, focusing on cloud-native data solutions, data pipelines, and analytics to drive business value and competitive advantage.
Must Have
- Design, develop, and deploy robust, scalable, real-time AWS-based data solutions.
- Architect and maintain secure, compliant data lake and warehouse solutions utilizing AWS services.
- Build efficient ETL/ELT workflows for diverse data sources.
- Lead the creation and optimization of event-driven, streaming data pipelines.
- Partner with PwC consultants, data scientists, BI engineers, and client teams to translate business problems into technical solutions.
- Ensure adherence to data governance, security, and privacy policies.
- Implement automation and DevOps best practices within data engineering pipelines.
- Proven experience building enterprise-level data engineering solutions on AWS.
- Proficiency in Python and hands-on experience with data orchestration tools (Apache Airflow, AWS Step Functions, or equivalent).
- Solid hands-on experience of distributed data frameworks and streaming technologies (Apache Spark, Kafka, Hive).
- Hands-on expertise with AWS ecosystem including S3, Lambda, Kinesis, Redshift, EMR, Glue and SQS.
- Strong data modeling skills and experience designing ETL/ELT pipelines.
- Familiarity with CI/CD pipelines, version control, and infrastructure-as-code tools (CloudFormation, Terraform).
- Exceptional analytical skills with a proactive, problem-solving approach.
- Excellent communication and collaboration skills.
Good to Have
- Bachelor’s or higher degree in Computer Science, Information Systems, Engineering or related fields.
- AWS certification(s) highly desirable.
Perks & Benefits
- Competitive compensation package
- Inclusive benefits
- Flexibility programs
Job Description
Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Analytics
Management Level
Manager
Job Description & Summary
At PwC, we are committed to building trust in society and solving important problems. Our Data & Analytics Practice combines market-leading expertise with innovative technology solutions to help clients transform their business by making smarter, data-driven decisions. As part of our global network, you’ll join a diverse and collaborative team dedicated to delivering impactful, scalable data solutions on the AWS cloud platform.
Meaningful work you'll be part of
As an AWS Data and AI Consultant, you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency. PwC is seeking a highly skilled AWS Data and AI Consultant, to join our Cloud, Data & AI practice and play a key role in delivering cutting-edge, cloud-native data solutions for our clients across industries. In this role, you will design and implement scalable, secure, and resilient data architectures on AWS that enable actionable insights and operational efficiencies. As an integral member of multi-disciplinary teams, you will work closely with business leaders, data scientists, and technologists to solve complex challenges and accelerate clients’ digital transformation journeys. Your expertise in AWS cloud technologies, data pipelines, and analytics will ensure PwC continues to uphold its reputation for delivering data solutions that drive sustainable business value and competitive advantage. Responsibilities include but are not limited to:
- Design, develop, and deploy robust, scalable, real-time AWS-based data solutions aligned with PwC’s high standards and client business objectives.
- Architect and maintain secure, compliant data lake and warehouse solutions utilizing AWS services such as S3, Redshift, EMR, Lambda, Kinesis, and more.
- Build efficient ETL/ELT workflows that support diverse, complex data sources, and enable timely data availability for analytics and reporting.
- Lead the creation and optimization of event-driven, streaming data pipelines that support advanced analytics, AI/ML models, and decision-making processes.
- Partner with PwC consultants, data scientists, BI engineers, and client teams to translate business problems into effective technical solutions.
- Ensure adherence to PwC’s rigorous data governance, security, and privacy policies throughout the solution lifecycle.
- Implement automation and DevOps best practices within data engineering pipelines to enhance reliability, scalability, and deployment velocity.
- Stay abreast of AWS innovations and industry trends to continually bring new opportunities to PwC’s data practice and clients.
Experiences and skills you’ll use to solve
- Proven experience building enterprise-level data engineering solutions on AWS, supporting large-scale data initiatives.
- Proficiency in Python and hands-on experience with data orchestration tools (Apache Airflow, AWS Step Functions, or equivalent).
- Solid hands-on experience of distributed data frameworks and streaming technologies such as Apache Spark, Kafka, and Hive.
- Hands-on expertise with AWS ecosystem including S3, Lambda, Kinesis, Redshift, EMR, Glue and SQS.
- Strong data modeling skills and experience designing ETL/ELT pipelines for batch and real-time ingestion.
- Familiarity with CI/CD pipelines, version control, and infrastructure-as-code tools (CloudFormation, Terraform).
- Exceptional analytical skills with a proactive, problem-solving approach and a strong customer orientation.
- Excellent communication and collaboration skills suited for a consulting environment involving clients and internal teams.
- Bachelor’s or higher degree in Computer Science, Information Systems, Engineering or related fields; AWS certification(s) highly desirable.
- PwC Canada is committed to cultivating an inclusive, hybrid work environment. Exact expectations for your team can be discussed with your interviewer.
PwC BC Region Pay Range Information
The salary range* for this position is $103,000.00 - 137,400.00 - 171,800.00$ CAD Annual, plus individuals may be eligible for an annual bonus payment. Actual compensation within the range will be dependent upon your skills, experience, qualifications and geographic location.
*Please note that the salary range for this position is reflected for our British Columbia region. Given our national recruiting approach, we recruit (and may hire) in other regions and therefore the salary range may differ depending on the work location. PwC is committed to competitive compensation and sharing salary ranges in accordance with applicable pay transparency legislation as they arise.
Why you’ll love PwC
We’re inspiring and empowering our people to change the world. Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwc
PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Métis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation {+ 23 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date