Data Architect – Supporting Discovery And Data Modeling

Role - Data Architect – supporting Discovery And Data Modeling

Location - Remote, USA

Short Description

As a Discovery Team Data Architect, you will provide technical leadership, data architecture, data analysis for key projects across Ford Pro by leveraging the latest data architecture concepts. In this role you will partner with business, data and analytics teams to deliver detailed data architecture, domain data models, discovery documents that will feed the Data Engineering teams. You will focus on data architecture, sourcing, analysis, modeling, profiling to help drive a robust, modern Analytics data platform (GCP Looker, Qliksense). Work closely with product teams, source data teams, analytics teams, and end users of the data platforms to provide leadership and consultancy.

Ford Pro Skill Team Intro

Ford Pro is a new global business within Ford committed to commercial customer productivity. Ford Pro delivers a work-ready suite of vehicles, accessories, and services for virtually every vocation, backed by technology, and engineered for uptime. A true one-stop shop, offering a full portfolio of electrified and internal combustion vehicles designed to integrate seamlessly with the Ford Pro ecosystem, helping customers' businesses thrive today and into the new era of electrification.

Ford Pro Tech –Data & Analytics (D&A) is a global team responsible for the strategy & delivery of 360 data services, modern business intelligence, and advanced analytics solutions powering Ford Pro. This enables Ford Pro to operate as an analytics-driven business in a competitive marketplace.

Role Description

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.

As a Discovery Team Data Architect, you will provide technical leadership, data architecture, data analysis for key projects across Ford Pro by leveraging the latest data architecture concepts. In this role you will partner with business, data and analytics teams to deliver detailed data architecture, domain data models, discovery documents that will feed the Data Engineering teams. You will focus on data architecture, sourcing, analysis, modeling, profiling to help drive a robust, modern Analytics data platform (GCP Looker, Qliksense). Work closely with product teams, source data teams, analytics teams, and end users of the data platforms to provide leadership and consultancy.

Role:

• Technical thought and cross-functional leadership for data architecture between analytics and other data sources

• Partner with product teams of the Data and Analytics platform to provide data discovery documents, and models.

Responsibilities

• Design the data integrations required to support Analytics use cases moving into the GCP Looker/Qliksense platform including:

o Data sourcing strategy

o Data flow design into Ford Pro data warehouse

o Determine and meet data transfer timing needs

• Develop a detailed data mapping document for the data interface between the source and target data systems

• Build and maintain a data dictionary for the data catalog downstream

• Develop conceptual, logical, and physical design of the product data structures

• Consult with Analytics Product Teams and Data Architect as they define, assemble, and integrate data based on Industry best practices for Enterprise Data Warehouse and meets Ford standards

• Aligns to and updates Ford Pro Enterprise Data Model as appropriate

• Enable Analytics and the Data Ingestion teams to move quickly, by ensuring data architecture disciplines are developed, shared, and as part of Product Line delivery teams

• Maintain a broad perspective of data available across the organization (GDIA Data Factory, Connected Vehicle, Ford Credit, TMC, Electriphi)

• Help guide data quality, management, security, performance and governance

Requirements

• 5+ years of experience working with an enterprise data management solutions and technology, including data modeling, data analytics, business intelligence, master data management, and data quality

• Experience with large-scale, distributed systems design and development, including scaling and performance

• Experience with developing logical and physical data models and with data modeling tools

• Experience working with software development teams on complex projects

• Experience in working with Agile and Lean methodologies

• Exposure and experience with Architectural standards, processes, and documentation

• Strong organizational skills with the ability to coordinate many services and a wide range of global business and IT partners

• Perform at a high level of technical competence and maturity under pressure

• Ability to communicate effectively with IT and business team members on a global level and negotiate solutions and drive consensus across platforms • Excellent interpersonal, written and oral communication skills

Plus points:

• Experience working with data available across Ford - GDIA Data Factory, Connected Vehicle, Ford Credit, TMC, Electriphi

• Past working relationships with Data Owners, Data Architects across Ford that you can draw upon to quickly enable data sourcing

The minimum qualifications we seek:

• Bachelor's degree in Computer Science, Information Technology, or related field master’s degree preferable

• Experience 3+ years with progressive responsibilities in Information/Data Engineering, Architecture and Administration

• Experience with cloud services and platform knowledge

• Experience collaborating with engineers, designers, and product owners

• Ability to work independently but influence others when driving for enterprise standards and solutions

• Excellent communication skills with the ability to adapt your communication style to the audience

• Ability to work collaboratively and navigate complex decision making in a rapidly changing environment