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    Cloud Data Warehouse Engineering, Manager - New York, United States - PricewaterhouseCoopers

    PricewaterhouseCoopers
    PricewaterhouseCoopers New York, United States

    3 weeks ago

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    Description

    ****

    Cloud Data Warehouse Engineering, Manager

    A career in Data Strategy and Platform Engineering will provide you with the opportunity to help businesses make better decisions and improve their performance through scalable and flexible technology that supports diverse data sources and uses.

    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 Manager, 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:

    Develop new skills outside of comfort zone.

    Act to resolve issues which prevent the team working effectively.

    Coach others, recognise their strengths, and encourage them to take ownership of their personal development.

    Analyse complex ideas or proposals and build a range of meaningful recommendations.

    Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.

    Address sub-standard work or work that does not meet firm's/client's expectations.

    Use data and insights to inform conclusions and support decision-making.

    Develop a point of view on key global trends, and how they impact clients.

    Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.

    Simplify complex messages, highlighting and summarising key points.

    Uphold the firm's code of ethics and business conduct.

    Demonstrates extensive abilities and/or a proven record of success in the following areas:

    Understanding and experience with modern cloud data warehouse and engineering for one or more of the following cloud providers Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sagemaker), GCP (BigQuery, Vertex, Cognitive Services), Snowflake, Tableau;

    Designing and developing modern data warehouse solutions using data modeling techniques such as file based, normalized or denormalized, star schemas, schema on read, Vault data model, and graphs for mixed workloads, such as OLTP, OLAP, streaming using any formats (structured, semi-structured, unstructured);

    Developing file and object-based storage solutions, such as Azure ADLS 2.0 or AWS S3, creating analytics and insights solutions using Redshift, Azure SQL Pools, Snowflake, PySpark dataframes and/or equivalent technologies;

    Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process;

    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;

    Leading and creating detailed functional and technical specification documentation related to cloud data warehouse solution;

    Understanding and familiarity of one or more is a big plus -CI/CD, cloud devops, containers (kubernetes/Docker, etc.), Python/PySpark/JavaScript;

    Understanding of enterprise data concepts such as Master Data Management and Enterprise Data Warehouse, experience with MDM standards;

    Understanding or knowledge in SQL, report generation using visualization tools such as Tableau/Power BI, programming using Python/Spark;

    Possessing certifications in one of the following AWS/Azure/GCP data engineering; and,

    Supporting data warehouse team and leads in creation of cloud data warehouse plans, roadmap, success metrics, and assessment of clients enterprise (on-premise and on-cloud) data systems.

    Demonstrates extensive-level abilities with managing the identification and addressing of client needs:

    Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects;

    Working with large Cloud Data Platform, Cloud Data migration or Enterprise Information Management programs;

    Working closely with business stakeholders to capture and document business objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures;

    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;

    Applying a proven 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.

    **Location(s):** TX-Dallas, FL-Tampa, IL-Chicago, TX-Austin, DC-Washington, MA-Boston, NY-New York, US-Remote, TX-Houston AddThis Sharing Buttons **Job Category:** Data and Analytics Technology **Line of Service:** Advisory **Level:** Manager **Specialty/Competency:** Data and Analytics Technologies **Industry/Sector:** Not Applicable **Job Type:** Regular **Time Type:** Full time **Travel Requirements:** Up to 60% **Job ID:** 295643WD New York, NY New York, NY Atlanta, GA Dallas, TX New York, NY

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