SENIOR DATA ARCHITECT_VOIS

Experience Core competencies, knowledge, and experience].
• Good knowledge on Database & data warehouse design • Good analytical skills.
Comprehensive written skills • Good Knowledge on AI/ML techniques, CI/CD, MLOPS, data pipelines tools and cloud technologies.
• Multicultural exposure.
Working with virtual teams.
Leadership & Inter-functional relationships • Autonomous, agile, flexible and results oriented.
Capable of delivering under challenging situations.
Strong focus on delivery.
Influencing skills.
Must have technical / professional qualifications.
• Engineering degree on Telecoms, IT or equivalent  • A minimum of 5 experience in these topics.
o In-depth understanding of database structure principles.
Proficiency in SQL & NO-SQL o Proficiency in MS Excel  o Familiarity with various database management systems like MySQL, Oracle, and SQL Server.
o Ability to create conceptual, logical, and physical data models.
o Knowledge of data modelling tools like Erwin, IBM Data Architect, and others.
o Designing and implementing ETL processes and workflows.
o Knowledge of ETL tools like Talend, Apache Nifi, or Microsoft SSIS.
o Working knowledge of big data technologies like Hadoop, Spark, and others.
o Experience with data storage solutions like HBase, Cassandra, and MongoDB.
o Understanding of data warehouse concepts, structures, and best practices.
o Implementing and maintaining data warehousing solutions.
o Experience in gathering and analysing system requirements.
o Knowledge of data mining and segmentation techniques  o Familiarity with data visualization tools (e.
., Tableau, D3.
s and R)  o Familiarity with cloud platforms and services like AWS, Azure, or Google Cloud.
o Ability to design and deploy data solutions in a cloud environment.
o Ensuring data security, privacy, and compliance with relevant regulations.
o Implementing data encryption, masking, and auditing techniques.
o Ability to analyze data to derive insights and support business decision-making.
o Proficiency in using data analysis tools and languages like Python, R, or SAS.
o Should be able to comprehend the company’s goals and translate them into data architecture and management strategies.
o Should have proven leadership skills to mentor the technical team and promote quality standards and the right vision of the product.
o Ability to develop and implement strategic plans related to data acquisition, storage, and usage to support business objectives.
o Identifying and mitigating risks related to data management and security.
o Should be able to prioritize tasks and organize the team for efficient work.
o Should participate in meetings with customers, collaborate with internal and external teams and have discussion with upper-level management  o Ensure that data architecture and practices comply with industry standards.
Nice to have.
• Knowledge of Telecom domain standards & protocols • Experience in Data Engineering products & technologies • Knowledge of Machine Learning and AI techniques Responsibilities Key accountabilities and decision ownership.
• Communicate with Engineering and Operations stakeholders in early stages of a request, to drive the alignment between user requirements and functional & non-functional requirements.
Ensure true business needs are clearly identified and clearly understood at the root so that the most effective and efficient solutions can be derived.
• Manage relationship with business, manage key stakeholders’ expectations.
• Look for synergies and innovation across Europe to serve the local markets.
• Enhance & evolve the continuous monitoring and continuous management framework deployed within European markets and GCP.
• Elaborate planning for the systems according to network evolution, user requirements and life cycle.
• Manage and execute the detailed budget.
Contribute for the long-range planning.
Ensure the timely delivery, meeting, or exceeding Capex targets.
• Escalate critical issues to sp #_VOIS#WeMoveTheWorld#MoveWithUs Vodafone is committed to attracting, developing and retaining the very best people by offering a motivating and inclusive workplace in which talent is truly recognised and rewarded.
We are committed to promoting Inclusion for All with the belief that diversity plays an important role in the success of our business.
We actively encourage everyone to consider becoming a part of our journey.