Data Architect Manager
Company: Deloitte
Location: Ann Arbor
Posted on: June 20, 2022
Job Description:
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)
Keywords: Deloitte, Ann Arbor , Data Architect Manager, Executive , Ann Arbor, Michigan
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