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Deloitte Data Architect Manager in Raleigh, North Carolina

Position Summary

Ready for an exciting, fast-paced career? Have a passion for architecting data solutions, digging into data, models, and predictive analytics, drawing conclusions, and developing recommendations? As a Data Architect/Manager in Deloitte Risk & Financial Advisory, you'll have the opportunity to gain valuable hands-on experience working alongside leading professionals while building your professional skills in a variety of analytical techniques and industry skills. You'll be involved in developing data analysis plans, innovative analytics strategies, developing and assessing organizations' models, and designing and implementing a variety of data driven solutions that help clients address challenging business issues.

Our Deloitte Risk & Financial Advisory practice helps organizations effectively navigate business risks and opportunities-from strategic, reputation, and financial risks to operational, cyber, and regulatory risks-to gain competitive advantage. We apply our experience in ongoing business operations and corporate lifecycle events to help clients become stronger and more resilient. Our market-leading teams help clients embrace complexity to accelerate performance, disrupt through innovation, and lead in their industries.

Work you'll do

Data Architect/Manager at Deloitte will manage and deliver components of client engagements that design and implement data driven technology-based business solutions for large multi-national organizations. Analyze, manipulate, and manage data to deliver meaningful insights necessary to help companies of all sizes and across multiple industries address regulatory and business challenges. Key responsibilities will include:

  • Lead architectural discussions and design exercises to build and automate large scale migration of data

  • Architect, design and oversee the development of the database mapping and migration processes

  • Define and implement the technology strategy across Analytics, Big Data, and Cloud platforms

  • Lead innovation by exploring, investigating, recommending, benchmarking, and implementing data centric technologies for the platform design and implementation

  • Manage teams in the identification of business requirements, functional design, process design (including scenario design, data flow mapping), prototyping, testing, training, defining support procedures for implementing data driven solutions and analytics

  • Performing current state assessment of client analytics and data management capability

  • Mapping data flows and identifying optimal design, architecture, and governance options as well as potential data quality risks

  • Querying and analyzing small and large data sets to discover patterns and deliver meaningful insights

  • Creating, managing, and utilizing structured and unstructured data stores

  • Formulate planning, budgeting, forecasting, and reporting strategies

  • Manage full life cycle data driven solution implementations

  • Develop statements of work and/or client proposals

  • Identify business opportunities to increase usability and profitability of information architecture

  • Lead workshops for client education

  • Manage resources and budget on client projects

  • Assist and drive the team by providing oversight

The Team

Data can often hold the key to future growth opportunities for many complex organizations. Deloitte Risk & Financial Advisory helps organizations navigate a variety of risks to lead in the marketplace and disrupt through innovation. The insights of our professionals, combined with our specialized products and services, help clients learn how to embrace complexity and leverage their position of strength to accelerate performance. Our Analytics professionals make extensive use of data, statistical and quantitative analysis, rules-based methods, and explanatory and predictive modeling in order to bring insights to client issues in the financial, regulatory, forensic and transaction domains. Learn more about our team at Deloitte.

Qualifications

Required:

  • 10+ years of relevant data management and/or cloud analytics (AWS, GCP, Azure) consulting or industry experience (master data, metadata, data architecture, data governance, data quality, data modeling)

  • 6+ years of experience leading and managing data delivery project teams through all phases of the project lifecycle from scoping and planning, requirements gathering, design, development, testing, and go live

  • 6+ years of relevant experience in Big Data Technologies that can provide the technical direction towards re-architecting Data Models and Access Platforms

  • 4+ years of experience building large scale systems utilizing Big Data Technologies

  • 4+ years of experience in cloud computing infrastructure (e.g., Amazon Web Services EC2, Elastic MapReduce) and considerations for scalable, distributed systems

  • Excellent understanding of Big Data Analytics platforms and ETL in the context of Big Data

  • Experience with administration, configuration management, monitoring, debugging, benchmarking, and performance tuning of Database Engines

  • Significant experience leading complex data management engagements and team sizes ranging from 5 to 20 resources

  • Must be able to maintain an Enterprise Data Warehouse (EDW) in support of business intelligence analytics

  • Develop and maintain data warehouse objects

  • Experience working within an Extraction Transform Load (ETL) software

  • Bachelor's Degree or equivalent professional experience

  • Limited immigration sponsorship may be available

  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred:

  • Cloud solution architect certification

  • Advanced knowledge of networking concepts, object-oriented technology, data warehousing, and relational database engines

  • Hands on programmer, strong in data structures and programming practices. Experience with Oracle, SQL Server, SSIS, and/or Talend

  • Experience in design and develop data pipelines

  • Proven skills as a team member, team lead or project manager on multiple full life cycle implementations

  • A proven resource in defining systems strategy, developing systems requirements, designing and prototyping, testing, training, defining support procedures, and implementing practical business solutions under multiple deadlines

  • Eagerness to mentor junior staff and raise quality of data strategy, design, and implementation across the practice by sharing insights and methods through training, community, etc.

  • Committed to gaining exposure to multiple industries while further developing your career

  • Adept at implementing technology-enabled business solutions for clients as part of a high-talent team

  • Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint)

  • Familiarity with a variety of analytics tools and programming languages such as, but not limited to:

  • Languages (e.g., SQL, Java, JavaScript, jQuery, AJAX, C#, C++, VBA, VB.Net, ASP.Net, HTML, SAS)

  • Reporting Tools (e.g., Business Objects, Reporting Services)

  • Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout)

  • Machine Learning/Cognitive (e.g., Python, Mahout, Cognitive Scale)

  • Predictive Analytics/Data Mining: (e.g., IBM SPSS, SAS Enterprise Miner, RPL, Python, Matlab)

  • Data Visualization Tools (e.g., QlikView, Tableau, Power Bi)

  • Financial Tools (e.g., NumeriX, Bloomberg, FinCad, Monte Carlo simulation tools

  • Cloud Computing Services (e.g., AWS Services, Azure, GCP)

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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