Senior Data Architect

Recruitment Consultant

Chris Canneaux

Contact Details

[email protected] +44 (0)330 335 2350

Posted

6 days ago

Our client is working on 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.

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.

Responsibilities

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.h.

Qualifications

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.
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.
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 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

Industry

Semiconductor

Contract Type

Contract

Location

Netherlands

Work Model

On-Site

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