Cloud Data Architect /Modeler

Hello Candidate,

Greetings From T-Systems ICT India Pvt. Ltd!

A Deutsche Telekom Group Company.

www.t-systems.com/in/en

T-Systems Information and Communication Technology India Private Limited (TSIN) is a wholly owned subsidiary of T-Systems International GmbH and has a presence in Pune and Bangalore with 3500+ employees providing services to group customers. With around 28,000 employees worldwide and annual revenues of EUR 4.2 billion (2020), T-Systems is one of the leading providers of digital services. The Deutsche Telekom subsidiary is headquartered in Germany and has a presence in Europe as well as in selected core markets and strategic production locations. T-Systems can provide a global production and supply chain to companies operating worldwide. T-Systems offers integrated end-to-end IT solutions, driving the digital transformation of companies in all industries, the public sector, first-class cloud services, digital solutions, and strong systemic security. Focus industries include automotive, manufacturing, logistics, and transportation, as well as healthcare and the public sector. T-Systems develops vertical, company-specific software solutions for these sectors. T-Systems is one of the leading AWS partners in Germany. Let's power higher performance together!

Job Description For Senior Data Architect / Modeler

Location Pune / Bangalore

Experience level - minimum 6 years

Mandatory skills:

Data Architecture, Data Modelling, Data Integration, Data Catalog and Governance, Cloud experience (GCP initially, if we exhaust with profiles then we can extend it to other clouds), experience on Spark, Kafka, Collaborate with cross-functional teams.

Cloud solution architecture, data modelling, exposure to analytics..

Good to have:Telecom data domain knowledge.

We are seeking an experienced and highly skilled Senior Data Architect to join our dynamic and innovative team. As a Senior Data Architect, you will play a pivotal role in shaping and implementing our data architecture strategy, ensuring the efficient and effective management of our Data Tribe data assets. This role requires a deep understanding of data modeling, database design, data warehousing, data analytics, data integration and data products, as well as a proven track record of successfully leading complex data architecture initiatives.

Responsibilities: Data Architecture Strategy:

Develop and drive the overall data architecture strategy in alignment with the organization's business objectives.

Collaborate with stakeholders to understand data requirements and translate them into comprehensive and scalable data solutions.

Data Architecture Planning:

Develop and maintain a comprehensive data architecture roadmap, considering both short-term goals and long-term vision.

Evaluate and recommend technologies and tools that align with the organization's evolving data needs.

Data Modeling and Design:

Oversee the design and implementation of robust data models that meet the organization's current and future requirements.

Design and implement robust data models that support both transactional and analytical requirements.

Ensure data integrity, consistency, and accuracy across various databases and data sources.

Ensure data models adhere to industry best practices and standards.

Data Integration:

Oversee the integration of data from various sources, ensuring seamless and accurate data flow.

Implement data integration solutions that support real-time and batch processing requirements.

Establish and enforce data management policies and procedures to ensure data quality, consistency, and security.

Collaboration and Communication:

Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to ensure a cohesive and integrated approach to data management.

Provide technical leadership and mentorship to junior members of the data architecture team.

Communicate complex technical concepts to non-technical stakeholders in a clear and understandable manner.

Data Governance and Security:

Establish and enforce data governance policies and procedures to ensure data quality and compliance.

Implement robust security measures to protect sensitive data assets.

Continuous Improvement:

Stay current with industry trends and emerging technologies related to data architecture.

Identify opportunities for continuous improvement and optimization of data-related processes.

OUR CULTURE: www.t-systems.com/in/en/newsroom/news

We offer attractive jobs for every career level in a global network, with innovative technologies and a new-work environment. If you're a creative thinker with a passion for marketing, we'd like to hear from you.

Apply now and join our dynamic team of T-systems! Shape the digital future with us!

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