Enterprise Data Architect
4 weeks ago
Job Description :
The ideal candidate will have a strong background in designing, implementing, and maintaining data solutions on the Azure platform. You will collaborate closely with cross-functional teams to understand data requirements, architect solutions, and implement pipelines to enable data-driven decision-making. This role requires a deep understanding of data engineering principles, Azure services, and best practices for data storage, processing, and analytics.
Must have : Telecom Domain knowledge.
Responsibilities :
- Collaborate with Enterprise Architect for reviews and required approvals for aligning overall architecture.
- Create, maintain and manage application architecture models and its lower- level components work within a Scrum or Agile development environment.
- Consult teams at onsite/offsite to provide technical solutions for complex services.
- Establish and maintain compliance with standards and procedures for design, development, testing, and documentation, contributing to high quality, reliable systems that meet or exceed business needs.
- Formulate and define scope, objectives and technical direction for new or modified web applications and lead systems analysis, design, and development and implementation efforts.
- Identify ways to reduce costs in IT and business leadership.
- Evaluate systems for discrepancies or vulnerabilities.
- Conduct research to find ways to improve operations.
- Build and maintain appropriate Enterprise Architecture artefacts including
- Entity Relationship Models, Data dictionary, taxonomy to aid data traceability.
- Provide technical oversight to solution delivery in creating business driven solutions adhering to the enterprise architecture and data governance standards.
- Be an advocate of data security principles and ensure appropriate security practices are embedded in any data strategy.
- Be an active contributor to how the organization evolves Data Governance practices and influence the adoption of data standards.
- Deep hands-on experience of relational and dimensional data modelling.
- Support technical architects in conducting PoCs , including cost evaluations, of various cloud services and other tools
- Communicate with analytics, BI, data science and any other teams that consume the data in the DWH and Enterprise Data Lake
- Develop data ingress frameworks using microsoft fabric, AWS, Databricks, Python, PySpark, SQL
- Data-oriented personality, great communication skills, and an excellent eye for detail.
- Must be able to interface with and manage relationships with businesspeople and technologists at senior levels showing competence in both areas.
- Provide technical guidance and mentor technical staff.
Qualifications :
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Master's degree preferred.
- 15+ years of experience leading architecture and engineering teams.
- Experience working on large strategic customer accounts as a senior architect.
- Experience in explaining how technology services can solve business problems and help achieve business strategy.
- Proficient experience with data architecture and modelling tools such as sParx, Erwin, and Archi.
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