Senior Consultant, Engineering - Data Core

Location: New York, NY | Greensboro, NC

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.

Are you passionate about developing data assets?

Do enjoy leading teams to build and deploy automated decision pipelines? The Deloitte Digital team is seeking a Manager of Engineering for the Hux Platform Organization to shepherd the development of solutions that leverage client marketing and customer interaction data to create a single view of their customers. As the Manager of Engineering, you will help maximize outcomes and customer experience for our clients.

Work you'll do

The Senior Consultant, Engineering will help develop in-house data assets within the Hux Platform Organization to ensure we are delivering best-of-breed solutions around marketing data management, marketing decisioning and experience management, from capture and storage through to security and privacy. A core goal of Hux is to deliver solutions which live within the client's own private cloud and give them transparent ownership of their data and marketing decisioning. Hux solutions must therefore be flexible and cloud agnostic.

In addition to managing the development of performant client solutions within the engineering organization the role will involve close collaboration with the Decisioning Core engineering team. Ensuring that assets developed by Data Core are architected in a form suitable for both BI/Analytics and real-time machine learning is a crucial part of this role.

Another core responsibility is providing the engineering voice in development and maintenance of the product roadmap. The Manager, Engineering must work closely with product, business and service delivery stakeholders to ensure roadmap items are technically sound and that technical debt is prioritized pragmatically alongside new features.

Role Specifics:

• Engineering leadership for a scrum team working on Data Core assets (acting as People Leader for the Engineers on your individual team, signing off technology and architecture designs, etc).
• Collaboration with Service Delivery teams to ensure the assets developed by Data Core are actually used in the field and understanding the pain points they are experiencing.
• Delivering scalable big-data solutions for real time decisioning and analytics in client cloud environments (Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft's Azure).

• 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

• Bachelor's Degree in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) or equivalent experience
• 5+ years of Engineering experience in a non-academic setting
• 3+ years leadership experience delivering large scale data and decisioning solutions for large enterprises.
• 2+ years' experience deploying data stores that satisfy the privacy and security requirements of large enterprises.
• Successfully delivered 1+ large scale solution of this type in either AWS, GCP, or Azure
• Demonstrated knowledge of Python, Git and SQL Snowflake, Matillion (Orchestration and Data Loader)
• Hands-on experience building and deploying automated decision pipelines
• Proven ability to build and implement identity resolution/stitching solutions
• Limited immigration sponsorship may be available

• Consider this section in addition to the required skills and each line as 'Or':
• Master's Degree in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science)
• Demonstrated ability to effectively communicate in writing and verbally.
• Proven ability to develop credibility with Engineers, Peers, and Technology leadership
• Successfully delivered 2+ large scale solution of this type in either AWS and GCP, or Azure
• Production or lab experience with CodeFresh and/or Artifactory
• Familiarity with test-driven development (TDD) methodologies using Cucumber, Selenium and/or Junit
• Experience leading modern full stack development activities in the cloud
• Experience leading/implementing automated DevOps application development.
• Experience with Snowflake cloud database
• Experience with Matillion cloud ETL solutionComfortable with code quality tool(s) (e.q. Sonarqube, Terraform, Fortify and/or Twistlock)
• Awareness of modern good practices in delivering large-scale enterprise data projects - event streaming, data fabrics, ETL vs ELT, etc.