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:

- In-depth understanding of database structure principles. Proficiency in SQL & NO-SQL
- Proficiency in MS Excel
- Familiarity with various database management systems like MySQL, Oracle, and SQL Server.
- Ability to create conceptual, logical, and physical data models.
- Knowledge of data modelling tools like Erwin, IBM Data Architect, and others.
- Designing and implementing ETL processes and workflows.
- Knowledge of ETL tools like Talend, Apache Nifi, or Microsoft SSIS.
- Working knowledge of big data technologies like Hadoop, Spark, and others.
- Experience with data storage solutions like HBase, Cassandra, and MongoDB.
- Understanding of data warehouse concepts, structures, and best practices.
- Implementing and maintaining data warehousing solutions.
- Experience in gathering and analysing system requirements.
- Knowledge of data mining and segmentation techniques
- Familiarity with data visualization tools (e.g., Tableau, D3.js and R)
- Familiarity with cloud platforms and services like AWS, Azure, or Google Cloud.
- Ability to design and deploy data solutions in a cloud environment.
- Ensuring data security, privacy, and compliance with relevant regulations.
- Implementing data encryption, masking, and auditing techniques.
- Ability to analyze data to derive insights and support business decision-making.
- Proficiency in using data analysis tools and languages like Python, R, or SAS.
- Should be able to comprehend the company’s goals and translate them into data architecture and management strategies.
- Should have proven leadership skills to mentor the technical team and promote quality standards and the right vision of the product.
- Ability to develop and implement strategic plans related to data acquisition, storage, and usage to support business objectives.
- Identifying and mitigating risks related to data management and security.
- Should be able to prioritize tasks and organize the team for efficient work.
- Should participate in meetings with customers, collaborate with internal and external teams and have discussion with upper-level management
- 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**: