Architect leading initiatives in data platform engineering at F5, solving challenges in unstructured data and enhancing governance frameworks.
About the role
- Data Architect focusing on strategic data asset management and advanced analytics capabilities development. Collaborating with business and technology teams to enhance data strategy and architecture.
Responsibilities
- Developing and optimizing database models and overall data architecture to store and retrieve company information efficiently.
- Collaborating with business leaders and teams to translate information requirements into data-centric solutions, including databases, data warehouses, and data streams.
- Designing conceptual and logical data models and flowcharts, defining database structures, and creating procedures to ensure data accuracy and accessibility.
- Focusing on improving data quality, accessibility, and security across all systems and platforms.
- Installing and configuring information systems, migrating data from legacy systems to new solutions, and improving system performance through testing, troubleshooting, and integrating new elements.
- Working closely with product mangers, product owners, software developers, and other IT teams to implement data-related solutions and realize end-to-end data strategies.
- Evaluating and recommending new technologies to enhance data management and supporting data analytics, AI solutions, and business intelligence projects.
- Ensuring that industry-accepted data architecture principles and standards are integrated and followed for modelling, stored procedures, replication, regulations, and security.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Management, or related field.
- 8-12 years of experience in data architecture, data engineering, or database development.
- Expertise in database technologies (SQL, NoSQL), data mining, and programming languages like Python, Scala, Java.
- Proficiency in data modelling (Canonical Data Model, Semantic Data Model) and schema design.
- Familiarity with ETL (Extract, Transform, Load) tools and processes for efficiently transforming and loading data.
- Hands-on experience with cloud data platforms (GCP/Azure/AWS) and modern data processing tools.
- Solid understanding of data governance, data quality, metadata management and master data management(MDM), referenced data management, transactions data management.
- Experience with data lakehouse architectures, data mesh, or data fabric.
- Familiarity with structural and non structural like big data tools (Hadoop/Spark, Kafka, Databricks, Big Query).
- Experience supporting AI/ML workloads with high-quality data structures.
- Strong analytical and problem-solving abilities.
- Excellent communication and stakeholder management skills.
- Ability to create clear architecture artifacts and documentation.
- Adaptability and a commitment to continuous learning to stay updated with evolving technologies.
- Master’s degree or relevant certifications (GCP Data Engineer/Azure/AWS Data Architect, TOGAF).
- Exposure to GCP data service like (Postgres, Big Query etc.)
- Exposure in Automative Industry.
Job title
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Degree requirement
Tech skills
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