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Data Architect

New York City, NY, USA | Deloitte Consulting

  • Industry:
    Management Consulting
  • Position Type:
  • Functions:
    IT / Information Technology
    Consulting - IT
  • Experience:
    5-7 years
Job Description:
110 people have viewed this job

In today’s world, customers expect companies to know who they are and what they want.Customers want to have products, services or experiences that best suit their needs delivered to them seamlessly across physical and digital channels.

Customers are human first: driven by dynamic wants, needs, and desires.The ability for brands to make personal, meaningful connections on a human level has never been greater and Hux by Deloitte Digital delivers on those experiences in a way that allows companies to own the customer journey end to end.  

Hux is the Human Experience Platform by Deloitte Digital. We help companies connect key data sources to understand what matters most to people; connect to advanced technologies like AI and machine learning to sense and respond to those needs at scale; and connect their systems to unlock insights, create collaboration and drive acquisition, engagement and loyalty.Most importantly, we empower companies to connect with customers in personal, meaningful ways that respect them as people, not just customers. 

Hux by Deloitte Digital gives companies the ability to build and leverage the connections – between people, systems, data and technologies – so they can deliver personalized, contextual experiences to customers at scale.

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.

Qualifications (required)

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


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)

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