A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics.
We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.
We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Youll focus on aligning client data strategies to their business strategy.
You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level.
To help us achieve this we have the PwC Professional; our global leadership development framework.
It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
As a Senior Associate, you’ll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution.
PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas.Delegate to others to provide stretch opportunities, coaching them to deliver results.Demonstrate critical thinking and the ability to bring order to unstructured problems.Use a broad range of tools and techniques to extract insights from current industry or sector trends.Review your work and that of others for quality, accuracy and relevance.Know how and when to use tools available for a given situation and can explain the reasons for this choice.Seek and embrace opportunities which give exposure to different situations, environments and perspectives.Use straightforward communication, in a structured way, when influencing and connecting with others.Able to read situations and modify behavior to build quality relationships.Uphold the firm’s code of ethics and business conduct.
Demonstratesthorough abilities and/or a proven record of success in the following areas:Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers AWS, Azure, GCP; Designing and developing using data modeling techniques (such as file based, normalized or denormalized, star schemas, schema on read, Vault data model, graphs) for mixed workloads, such as OLTP, OLAP, streaming using any formats (structured, semi-structured, unstructured); Architecting and designing data implementation patterns and engineered solutions using native cloud capabilities that span data ingestion & integration (ingress and egress), data storage (raw & cleansed), data prep & processing, master & reference data management, data virtualization & semantic layer, data consumption & visualization;Understanding of cloud data solutions in the context of business applications, cost optimization, clients strategic needs and future growth goals as it relates to becoming a data driven organization; Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements; Creating detailed documentation related to cloud data architecture; Familiarity of one or more is a big plus CI/CD, cloud devops, containers (kubernetes/Docker, etc.), Python/PySpark/JavaScript; Understanding of cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding of enterprise data concepts such as Master Data Management and Enterprise Data Warehouse, experience with MDM standards; Understanding of SQL, report generation using visualization tools such as Tableau/Power BI, programming using Python/Spark; Possessing a certification(s) in one of the following is a big plus AWS/Azure/GCP data engineering; and,Supportingdata architecture team and leads in creation of cloud data migration/integration/warehouse plans, roadmap, success metrics, and assessment of clients enterprise (on-premise and on-cloud) data systems.Demonstrates a thorough level of abilities with, and/or a proven record of success as both an individual contributor and team member, identifying and addressing client needs:Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects; Working withlarge Data Governance or Enterprise Information Management programs; Working closelywith business stakeholders to capture and document business objectives/requirements; Collaborating with technology teams and architects to define and develop technology solutions; Willing to learn and apply modern, cloud based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Driving collaboration and teaming approach; Demonstrating critical thinking and problem solving methods and skills; and,Using appropriate facilitation techniques to gain agreement or move others to action.Please note that, at this time, to be in-person at a PwC office, client location or PwC-sponsored events, you must be fully vaccinated against COVID-19.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.All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color;religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law.
PwC is proud to be an affirmative action and equal opportunity employer.For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.For positions in Colorado, visit the following link for information related to Colorado’s Equal Pay for Equal Work Act: https://pwc.To/coloradoadvisoryseniorassociate.#LI-Remote