Data Architect

Data Architect

Ready to join the NXP Central Data Office to help drive Digital Transformation in a high-tech industry?

NXP Semiconductors enables a smarter, safer and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. Built on more than 60 years of combined experience and expertise, the company has approximately 34,500 employees in more than 30 countries and posted revenue of $13.29 billion in 2023.

NXP initiated its digital transformation in 2021, with a strategic investment in modernizing its digital infrastructure. One of the key pillars of its Digital Transformation is Enterprise Data, which resulted mid-2023 in the set-up of a Central Data Office, headed by a CDO. This newly formed team aims at maximizing the power of data, analytics, AI and ML, to enable making informed decisions, to improve our customers and employee experience, operational efficiency as well of growth.

The Central Data Office team is structured around key areas of capabilities, such as Data Analytics Portfolio, Data Platforms, Data Architecture, Data Literacy and Data Governance.

We are looking for a Senior Data Architect to complement our Data Architecture team. This senior Data Architect will help develop & deliver data architecture related designs for multiple respective domains working with multiple internal stakeholders both at a technical and functional level.

Your key responsibilities

• Maintains confidentiality of NXP and its vendors & clients’ proprietary information.
• Provides a consultative approach with BG/BU users, asking questions to understand the business need and deriving the data flow based on those needs.
• Works closely with the Data Program managers, Data Governance experts, Data Engineers and Data Scientist of the Data CDO, part of client-oriented project teams assisting with, gathering, reviewing and interpretation of business and technical requirements and understanding data analytics use cases objectives.
• Develops strategic data architecture designs for an open data architecture used for data analytics use cases.
• Determines structured and unstructured data architecture requirements by cohesively blending the needs of the business with the feasibility of current and emerging data technologies and architecture standards.
• Partners with and becomes a knowledge expert across the organization to help solve complex data analytics business problems, by designing the appropriate data architectures using a wide array of skills.
• Develops database and big data solutions by designing data architectures, including business architecture, data storage, data analytics, data transformation, and data access definitions.
• Works closely with the data engineering teams to design highly performant and scalable data solutions.
• Provides best practice direction and even hands-on implementation of optimized relational and non-relational database solutions.
• Provides delivery leadership in the design, deployment and data conversion of complex data solutions, UAT and data architecture practices.
• Responsible for creation and communication of data architecture standards and best practices, and data movement and mapping design.
• Responsible for validation of the data quality and integration of all data architecture components, and capture of necessary data architecture metrics for benchmarking and trending to support quality of processes and related artifacts.
• Understands and applies the enterprise data life cycle (creation, replication, archival, disposition of historical and PII data).
• Responsible for evaluating and recommending data query and modeling tools to assist with data architecture activities, development and communication of best practices for those tools, and activities to improve effectiveness and quality.
• Develops and improves data domain blueprints.
• Assists developers in the design and improvement of database queries, provides training and learning opportunities.
• Supports deep business analytics and statistically based data analysis projects to drive business value by designing and implementing right architectures for these projects.
• Establishes and participates in data management processes including data lineage, data profiling, data quality management, data stewardship and governance.
• Seamlessly works with ETL/ELT developers, database and big data administrators, application interface developers, DevOps and IT operations personnel, as well as product management and clients.
• Interacts in cooperative and professional manner, with all levels of employees, vendors and/or clients, in team environment.
• Organizes tasks and resources to complete work and meet deadlines according to established CDO procedures.

Your team

You will report to the Lead Data Architect. Together, you will make a critical contribution to the implementation of the Data Strategy and Digital Transformation journey at NXP. The team offers high level of energy and passion, open collaboration environment and opportunities to learn from each other for personal growth.

Complexity of the job

The success of the role is highly dependent on communication, facilitation and convincing skills and the ability to relate to all levels within the business organization.

The Data Architect needs to be accepted as a trusted advisor and be able to drive change, and influence and challenge the (senior) business partners and other stakeholders.

The Data Architect works in agile teams, in an international context with leaders and experts both within and outside of NXP.

Your profile

To be successful in this role you shall have:

• BS or MS degree in a quantitative field such as computer science, physics, math, engineering, or economics. Equivalent education and/or experience may be substituted for the minimum education requirement.
• Strong understanding of project delivery aspects with demonstrated experience in dealing in complex environments.
• Knowledge and understanding of data and technology landscape of transactional systems, data management, processes and data analytics consumption.
• Have a strong bias for action, is results-oriented and have a reputation for delivering.
• Apart from data & analytics knowledge, have functional experience in one or multiple of the following domains (Finance, Supply chain, Sales & Marketing, R&D, Manufacturing)
• Knowledge of data related best practices (e.g., DAMA-DMBOK, Data Modeling), privacy, regulatory requirements and emerging technologies such as AI/ML and Generative AI
• Strong communication skills used to drive change, inspire and guide data related topics, influence business functions to support and engage with the principles of data and analytics.
• Demonstrate interpersonal capacities to collaborate and relate openly with diverse groups of international stakeholders across organizations build strong partnership, maneuver comfortably through complex policies, processes, people related organizational dynamics.
• You are reliable, accountable, a curious and persistent team player, proactive, structured, with drive and autonomy. Your hands-on mentality help you achieve results together with the project teams.
• Agile/SCRUM Project management (including Jira tool) would be a plus.
• Experience with Semiconductor industry as a nice-to-have
• Deep understanding of traditional and modern data ingestion, data storage, data processing and data access technologies.
• Extensive background in database systems along with a strong knowledge of SQL, MySQL.
• Experience with (modern) data technologies like AWS, Azure, Databricks, Teradata, Hive, Map Reduce, Spark, Kafka.
• Experience with workflow management technologies such as Airflow, Oozie, Luigi, etc.
• Experience working in public cloud environments like AWS and Azure
• Experience with (modern) data modeling languages like Data Vault, Dimensional models, etc.
• Experience with (modern) data modeling Tools like Enterprise Architect (Sparx), Erwin, etc.
• Experience with data analytics solutions and languages like Tibco Spotfire, Power BI, etc.
• Experience with data analytics solutions using ML/ AI and GenAI, Vector DB, RAG etc.
• Experience implementing monitoring, quality assurance, data validation processes in a relational and big data environment.
• Experience with Data Management / Data Governance related activities and concepts
• Experience in a Meta data enhanced data architecture.
• Experience in Data Fabrics and Data Mesh setup’s
• Ability to interpret business requirements to formulate technical solutions and to decide among competing technical solutions.
• Excellent verbal and written communication skills and experience in collaborative environments.
• Ability to constructively resolve conflict, manage expectations for competing priorities, and drive towards business goals.

Creating Secure Connections and Infrastructure for a Smarter World

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To learn more about NXP in the Netherlands, click here or visit our showroom here.

What can you expect.

Contract: This is a full-time position with a temporary contract.

Our offices: The Netherlands is home to our global headquarters (Eindhoven) along with two additional sites (Nijmegen, Delft) and includes a diverse team of over 2000 employees with 51 different nationalities focused on R&D, manufacturing, product development, business operations, legal and sales.

More information about NXP in the United States...

NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.