Azure Data Platform Engineer, Manager, Tech Consulting
Ernst & Young Global
 Caney, KS

EY delivers unparalleled tech

consulting services in big data, business intelligence, digital, machine

learning and Artificial Intelligence. We help clients understand, architect,

select and implement leading-edge solutions to drive their business. We leverage leading

practices and a high degree of business acumen that has been compiled over

years of experience to deliver the highest level of execution and satisfaction

for our clients. Our approach is focused

on analyzing business needs and making sure that the solutions delivered meet

our clientâs goals.

The opportunity

EY is investing significantly in the

build out of Data and AI services that leverage Microsoft Azure. This is a rapidly growing area and you will

have the opportunity to lead and develop your skill set to keep up with the

ever-growing demands of the modern data platform and data fabric landscape, including

data lakes and data warehouse development. You will help our clients with designing and

building data and analytics architectures to enable better business

outcomes. You will work across client

stakeholders to determine solution requirements and rationalize architecture

decisions. During implementation, you will collect, aggregate, and analyze

structured/unstructured data from multiple internal and external sources and

present patterns, insights, and trends to decision-makers. This is a high

growth, high visibility area with plenty of opportunities to enhance your

skillset and build your career.

Your key responsibilities

The Tech Consulting Manager focuses

on architecting solutions

and managing client engagement teams, working with a wide variety of clients to

deliver tech consulting services, and managing business development activities

on strategic and global priority accounts.

Skills and attributes for success

  • Understanding customersâ overall data
    estate, IT and business priorities and success measures to design
    implementation architectures and solutions.
  • Assessing the Customers' knowledge of
    Azure platform and overall cloud readiness to support customers through a
    structured learning plan and ensure its delivery.
  • Translating business requirements to
    technical solutions leveraging strong business acumen.
  • Applying technical knowledge to architect
    solutions that meet business and IT needs, create Data Platform, AA/AI
    roadmaps, and ensure long term technical viability of new deployments,
    infusing key analytics and AI technologies where appropriate (e.g. Azure
    ML, ML Server, BOT framework, Cognitive Services, Big Data, Data Lake,
    Azure Databricks, etc.)
  • Collaborating with other Cloud Solution
    Architects in developing complex end-to-end Enterprise solutions on
    Microsoft Azure platform.
  • Supporting the planning and
    implementation of data design services, providing sizing and configuration
    assistance and performing needs assessments.
  • Designing and building Modern Data
    Pipelines and Data Streams and build Data Service APIs.
  • Developing and maintaining data warehouse
    schematics, layouts, architectures and relational/non-relational databases
    for data access and Advanced Analytics.
  • Working experience with Visual Studio,
    PowerShell Scripting, and ARM templates. Ability to conduct data
    profiling, cataloging, and mapping for technical design and construction
    of technical data flows.
  • The ability to apply such methods to
    solve business problems using one or more Azure Data and Analytics
    services in combination with building data pipelines, data streams, and
    system integration. Strong team collaboration and experience working with
    remote teams.
  • Leading large-scale client
    engagements. Fostering
    relationships with client personnel at appropriate levels. Consistently
    delivering quality client services. Driving high-quality work products
    within expected timeframes and on budget.
  • Monitoring progress, managing risk and
    ensuring key stakeholders are kept informed about progress and expected
    outcomes.
  • Provides
    directional guidance and recommendations around data technology, data
    models, and data storage formats
  • Staying abreast of current business and
    industry trends relevant to the client's business

To qualify for the role you must

have

  • Bachelorâs
    degree, or MS degree in Computer Science, Statistics or Applied Mathematics,
    Data Science, or Machine Learning. Ph. D. preferred
  • At
    least five years of professional consulting experience in big data, and data
    engineering
  • Extensive
    experience connecting to various data sources and structures: APIs, NoSQL,
    RDBMS, Blob Storage, Data Lake, etc.
  • Deep understanding of ETL, ELT, data
    ingestion/cleansing and engineering skills
  • Breadth of technical experience and knowledge,
    with depth / Subject Matter Expertise in two or more of the following Data
    Platform Cloud solutions required:
    • SQL including OSS (postgres, MySQL etc), Azure
      SQL
    • NoSQL Databases including OSS (Maria, Mongo
      etc), Cosmos DB
    • Big Data including SQL DW, Snowflake, Big
      Query, Redshift
    • Advanced Analytics including Azure Data Bricks,
      visualization tools as PowerBI, Tableau
    • Data Governance, Data Catalog, Master Data
      Management
  • Big Data implementation - using Open Source and
    Non-SQL technologies such as Databricks, Spark, Spark Streaming, Kafka, Cosmos DB, Snowflake and
    Python.
  • Knowledge
    of Lambda and Kappa architecture patterns.
  • Knowledge
    of Master Data Management (MDM) and Data Quality tools and processes.
  • Ability
    to help customers engineer Azure Data Solutions based on current on-premise
    data centers.
  • Communication
    is essential, must be able to listen and understand the question and develop
    and deliver clear insights.
  • Independent
    and able to manage and prioritize workload.
  • Ability
    to quickly and positively adapt to change.
  • A
    valid driverâs license in the US; willingness and ability to travel to meet
    client needs.

Ideally,

youâll also have

  • Bachelorâs
    Degree or above in mathematics, information systems, statistics, computer
    science, or related disciplines
  • Experience
    with machine learning and data science, including utilization of tools and
    capabilities like Azure Databricks, Azure ML and Cognitive Services, as well as
    programming languages like R and use of R Studio
  • MS
    Certification: Azure Data Engineer Associate

What we look for

Weâre

interested in passionate leaders with strong vision and a desire to stay on top

of trends in the Data Science and Big Data industry. We want a customer-focused

professional who is motivated to drive the creation of great enterprise

products and who can collaborate and partner with other product teams, and

engineers. If you have a genuine passion for helping businesses achieve the

full potential of their data, this role is for you.

What working at EY offers

We

offer a competitive compensation package where youâll be

rewarded based on your performance and recognized for the value you bring to

our business. In addition, our Total Rewards package includes medical and

dental coverage, pension and 401(k) plans, a minimum of twenty-five 25 days of

vacation plus 10 observed holidays, and a range of programs and benefits

designed to support your physical, financial and social well-being. Plus, we

offer:

  • Opportunities
    to develop new skills and progress your career
  • A
    collaborative environment where everyone works together to create a better
    working world
  • Excellent
    training and development prospects, both through established programs and
    on-the-job training

About EY

As a global leader in assurance,

tax, transaction and advisory services, we hire and develop the most passionate

people in their field to help build a better working world. This starts with a

culture that believes in giving you the training, opportunities and creative

freedom to make things better. So that whenever you join, however long you

stay, the exceptional EY experience lasts a lifetime.

If

you can confidently demonstrate that you meet the criteria above, please

contact us as soon as possible.

Make

your mark. Apply today.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law.