Enterprise Data Architect

4 weeks ago

Pune, India TELL Jobs Full time

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

- Design the Workflow Orchestration using Airflow.

- Manage releases.

- Oversee testing.

- 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.

(ref:hirist.tech)

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