Senior Data Architect

Hybrid Working Required // No Sponsorship Available // EU Citizen or Permanent Residents only

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:

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.

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.

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.

Key Skills/Tech:

• - 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 of data related best practices (e.g., DAMA-DMBOK, Data Modeling), privacy, regulatory requirements and emerging technologies such as AI/ML and Generative AI 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