# Data Architect **Company**: Cisco **Experience**: senior **Job type**: full-time **Category**: Data Science **Industry**: Technology **Apply**: https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/Bangalore-India/Data-Architect---13--years-exp--Snowflake--dBT--Python_2017847?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_b2f96c6f-8ed ## Description You will be part of the Cisco IT Data team, where technology, innovation, and collaboration drive real business value. As a Data Architect, you will be the senior technical authority responsible for defining the architecture, standards, and strategic direction of Cisco's enterprise data platforms. **Key Responsibilities** - Define and own the enterprise data architecture vision, standards, and multi-year roadmap across ingestion, storage, transformation, discovery, and governance. - Design scalable, secure, and highly available data architectures,including data lakes, lakehouses, data warehouses, and real-time streaming systems,leveraging modern cloud-native technologies. - Define and lead target-state architecture and migration strategies that modernize legacy data infrastructure onto cloud-native platforms (e.g., GCP, Snowflake) to improve scalability and reduce operational cost. - Establish architectural standards, reference patterns, and best practices for data modeling, integration, metadata management, and platform security across teams. - Establish enterprise data modeling standards and governance/lineage frameworks that improve data quality, discoverability, and compliance across multiple business domains. - Design API- and event-driven integration architectures that enable real-time data access across the enterprise, improving data delivery speed and reliability. - Partner closely with data engineers, analytics teams, platform engineers, and business leaders to translate strategic priorities into robust, well-governed data solutions. - Lead architecture decisions for platform modernization, evaluating and selecting technologies (e.g., Snowflake, BigQuery, Airflow, DBT, Informatica, Kubernetes) to optimize efficiency, cost, and scale. - Define data governance, lineage, quality, and compliance frameworks, ensuring they are embedded across platform design and operations. - Provide architectural oversight and design reviews, ensuring solutions meet reliability, scalability, performance, and security requirements. - Champion conceptual, logical, and physical data modeling practices that support both operational and analytical workloads. - Mentor engineers and architects, fostering a culture of technical excellence, sound design thinking, and knowledge sharing. - Act as a key technical advisor to leadership, influencing architecture decisions, technology investments, and strategic direction across the data organization. **Minimum Qualifications** - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 13+ years of professional experience in data architecture, data engineering, or large-scale data platform design. - Deep expertise designing enterprise data architectures,data lakes, lakehouses, and data warehouses,at scale. - Strong proficiency with cloud platforms (AWS, GCP, or Snowflake) and modern, cloud-native data architectures. - Expert-level data modeling skills (conceptual, logical, and physical) across relational, dimensional, and NoSQL paradigms. - Proven experience defining data integration, ingestion, and API/microservices patterns for enterprise-scale systems. - Strong knowledge of data pipeline orchestration tools (Airflow, DBT, Informatica) and cloud-native storage (Snowflake, BigQuery). - Hands-on understanding of CI/CD, containerization (Docker, Kubernetes), and infrastructure as code (Terraform, CloudFormation). - Solid programming or scripting skills (Python, SQL, Java, or similar) to support architecture validation and prototyping. - Demonstrated success leading large, complex architecture initiatives and influencing across teams in Agile/Scrum environments. **Preferred Qualifications** - Experience designing real-time/streaming data architectures (Kafka, Pub/Sub) and large-scale ETL/ELT processes. - Deep knowledge of data governance, security, lineage, and compliance frameworks. - Experience architecting platforms to support AI/ML and advanced analytics workloads. - Proven ability to optimize cost, performance, and scalability in cloud-based data environments at scale. - Relevant architecture certifications (e.g., cloud architect, data architecture). - Exceptional communication, influencing, stakeholder management, and mentorship abilities at the organizational level. ## Skills ### Required - cloud platforms - data architecture - data modeling - data integration - data governance - cloud-native technologies - containerization - infrastructure as code - programming - scripting - Agile/Scrum ### Nice to have - real-time/streaming data architectures - ETL/ELT processes - AI/ML - advanced analytics - cost optimization - performance optimization - scalability - architecture certifications --- Source: [Apply at cisco.wd5.myworkdayjobs.com](https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/Bangalore-India/Data-Architect---13--years-exp--Snowflake--dBT--Python_2017847?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)