Data Solution Architect

Join one of the world leaders in global agriculture engineering Technology. AGCO's consistent efforts to deliver smart farming solutions leveraging technology and engineering prowess has helped create innovative global platforms like Precision AG Technologies.

In Support of AGCO's Farmer First purpose and clear intent of developing innovative technological solutions, we are opening a new digital capability centre located in Bengaluru, India,

The centre would focus on augmenting AGCO's global IT and Digital capability and investment in high-quality technology, innovation, and R&D talent.

The teams will be an integral part of AGCO's global ecosystem. They will work as part of a global cross-function and cross-cultural team, working together to deliver AGCO's purpose to provide Farmer-focused solutions to sustainably feed our world and our vision to be the Trusted partner for industry-leading, smart farming solutions.

**Who We Are Looking For**:
The Strategy, Innovation & Digital Value stream team at AGCO Corporation is looking for an experienced Data Architect to join a diverse team dedicated to solutions architecture, strategy and innovation. The Enterprise Data Architect will be responsible for aligning the future state enterprise information architecture with the corporate strategy.

**What You Will Do**:

- Advise our Data Engineering teams on best data practices and will shape the future landscape of data at AGCO, including architecting the databases and data streams to power Discovers core analytic pipelines and processes.
- Provides advice on project costs, design concepts, or design changes. Drives key decisions around how we work with data at Discover, both within the Data organization and for the broader company, including taking ownership of the key database and data warehouse design initiatives.
- Create high-level design documents and detailed specifications, in accordance with company architecture standards. Creates new data models as well as improving existing databases and data flows.
- Defining the data architecture framework, standards and principles, including modeling, metadata, security, reference data such as product codes and client categories, and master data such as clients, vendors, materials, and employees
- Defining reference architecture, which is a pattern others can follow to create and improve data systems
- Defining data flows, i.e., which parts of the organization generate data, which require data to function, how data flows are managed, and how data changes in transition

**What You Will Bring**:

- A minimum of 7+ years of progressively responsible experience in information/data architecture, during which both professional and management capabilities have been clearly demonstrated, preferably in the manufacturing / automotive industry
- Breadth of development experience in many of the following disciplines:

- Data Integration
- Master Data & Master Data Governance
- Data Warehousing
- Big Data
- Cloud Enabled & IoT Data Architectures
- Business Intelligence
- Programming
- Data Lake & Lake Formation Strategy
- Micro Services
- Streaming data, NoSQL, structured / unstructured data from IoT systems (manufacturing & telemetry devices)
- Creates and documents architecture decisions, diagrams, design specifications, installation instructions, and other system-related information
- Verifies stability, availability, inter-operability, portability, security, scalability, or other relevant architecture characteristics
- Contributes to architecture governance for data and analytical activities throughout the enterprise
- Drives optimal reference architecture that efficiently and effectively presents an integrated view of enterprise data for both operational and analytical needs. Creates target state data flows covering registered interfaces, alignment to reference architecture, alignment to sources of truth, Master data/CRM like solutions across the enterprise
- Create, collect, facilitate enterprise data solution patterns covering interfaces, data stores, transport technologies and the source and destination of data
- Advanced degree in Applied Mathematics, Business Analytics, Statistics, Machine Learning, Computer Science or related fields is a plus
- 2+ years of experience in Automotive Manufacturing Industry Enterprise Information Management
- Extensive experience in multidimensional data modeling, such as star schemas, snowflakes, normalized and de-normalized models, handling “slow-changing” dimensions/attributes
- Extensive experience providing practical direction on information and analytics platforms in conjunction with EDW tools and technologies
- Experience using with project management using Agile methodologies
- Experience in Operational Data Store and data integration processes/procedures
- Experience with Data Warehouse and BI systems; extensive experience for collecting business requirements from customers, and transform the requirements into DB data processes