Deloitte Data Architect - Experience Management in Charlotte, North Carolina
Data Architect - Experience Management
Locations: New York, NY | Greensboro, NC | Chicago, IL | Raleigh, Durham, Chapel-Hill, Charlotte, NC
Deloitte Digital offers services that enable client solutions using digital technologies, including the Web, Mobile, Social Networking, Digital Strategy, Digital Content and Digital ERP. The Digital Web team works with clients to advise, design, implement and deploy eCommerce and Portal solutions. Our eCommerce capabilities provide transactional solutions related to online marketing, sales and service; for both Direct-To-Consumer and Business-to-Business. Our Portal capabilities provide intranet and internet solutions focused on content presentment and transaction capabilities for both internal enterprise as well as customer facing purposes.
Work you’ll do
As a Data Architect, you’ll manage the delivery of the customer experience & marketing data solutions to the business requirements and needs of our clients. You’ll serve as the technical lead and overall solution design owner as it relates to end-to-end customer experience & marketing solutions from data management, advanced decision making, to down-stream orchestration. The role requires a client-forward focus and will be asked to contribute in proposals, client-facing requirements gathering, and enabling the delivery teams for success.
Your responsibilities will include:
Interfacing with client’s technical and business teams to gather business requirements to define technical architecture for customer experience & marketing data solutions.
Manage the day-to-day work of onshore and offshore developers to ensure projects are delivered in a timely manner. Work as their technical lead and offer solutions as needed.
Lead customer project conference calls or interface with a project manager
Deliver technical specifications documents for customer review
Leverage understanding of data relationships and schemas to structure data to allow clients to perform dynamic customer-level analysis
Leverage scripting languages to automate key processes governing data movement, cleansing, and processing activities
Innovate on new ideas to solve customer needs
Serving as the Data Architect and subject matter expert for customer experience & marketing data solutions (e.g. Customer Data Platform) during pre-sales, Discovery, and Implementation projects.
Involving other domain specific SME’s (e.g. CRM, Martech, Adtech, Commerce) to support solution design.
Engaging in technical resource planning and level-of-effort estimation to support project scoping, pricing, and planning.
Proposing designed solutions to client technical and business teams.
Advertising, Marketing & Commerce
Our Advertising, Marketing & Commerce team focuses on delivering marketing and growth objectives aligned with our clients’ brand values for measurable business growth. We do this by creating content, communications, and experiences that engage and inspire their customers to act. We implement and operate the technology platforms that enable personalized content, commerce and marketing user-centric experiences. In doing so, we transform our clients’ marketing and engagement operations into modern, data-driven, creatively focused organizations. Our team brings deep experience in creative and digital marketing capabilities, many from our Digital Studios.
We serve our clients through the following types of work:
Cross-channel customer engagement strategy, design and development (web, mobile, social, physical)
eCommerce strategy, implementation and operations
Marketing Content and digital asset management solutions
Marketing Technology and Advertising Technology solutions
Marketing analytics implementation and operations
Advertising campaign ideation, development and execution
Acquisition and engagement campaign ideation, development and execution
Agile based, design-thinking, user-centric, empirical projects that accelerate results
5 years of experience related to technical data & marketing solution experience
5 years of in-depth understanding of database platforms including relational and non-relational data engines (MS SQL, MySQL, PostgreSQL, MongoDB, MariaDB, Hadoop, Snowflake, Hive, Spark, Big Query, Redshift, Data Warehouse, and similar)
5 years of experience with data processing (ETL) tools & methodologies (Informatica, Talend, Spark, Pentaho, SSIS, Unifi, SnapLogic and similar)
2 years of experience with Python or Powershell
Experience with designing customer centric datasets (i.e. CRM, Call Center, Marketing, Offline, Point of Sale, etc.)
3 years of data modeling experience
Experience in advanced data warehouse concepts
Experience with business requirements definition and management, structured analysis, process design, use case documentation
Experience with reporting technologies (i.e. Tableau, PowerBI)
Understanding of data integration methodologies and tools (Mulesoft, Dell Boomi, Custom API, Segment, Tealium, and similar)
Understanding of public cloud offerings and how-to solution designs that are built around these technologies (AWS, Azure, Google Cloud Platform, and similar)
Excellent interpersonal skills and the ability to articulate complex technology concepts with technical and non-technical individuals
Ability to approach a technical solution to solved for challenges from a business perspective
Understanding of the full SDLC process
Degree in Computer Science, Information Systems, Data Science, or related field
Travel up to 25% (while up to 25% of travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice)
Limited immigration sponsorship may be available.
Experience and knowledge with digital marketing analytics
Experience and knowledge with marketing cloud solutions
Experience in programming languages (python, Java, or Bash scripting)
Experience with Big Data technologies (i.e. Hadoop, Spark, Redshift, Snowflake, Hive, Pig, etc.)
Experience with Martech/Adtech tools and how to integrate technologies into the data management solution. (Adobe, Salesforce, Oracle, Google, and similar)
Experience in advanced analytics\machine learning concepts\use cases and how to apply this technology to customer experience & marketing solutions (predictive modeling, recommendation personalization, channel optimization)
Experience working with public cloud offerings (AWS, Azure, Google Cloud Platform, and similar)
GCP - (Cloud Functions, Composer, SQL, Storage, Dataproc, Datastore, Kubernetes, Big Query, Stackdriver, Pub/Sub)
AWS – (Lambda, Glue, Data Pipeline, Redshift, Aurora, Athena/Spectrum, S3/Glacier, Fargate, Cloud Watch, Kinesis)
Azure - (Functions, Batch, Blob Storage, Data Warehouse, Data Factory, Containers, Monitor, Service Bus)
How you’ll grow
At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Center. (https://zoomforth.com/s/deloitte/du#home)
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. (http://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html)
Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. (http://www2.deloitte.com/us/en/careers/life-at-deloitte.html?icid=top_life-at-deloitte)
Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. (http://www2.deloitte.com/us/en/pages/about-deloitte/articles/deloitte-corporate-citizenship.html)
We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you’re applying to. Check out recruiting tips from Deloitte professionals. (http://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html)
As used in this posting, “Deloitte” means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.
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.
Category: Management Consulting
As used in this document, Deloitte means Deloitte LLP and its subsidiaries. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. 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.