Cisco

1 day ago

Data Architect - 13+ years exp, Snowflake, dBT, Python

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Define and own enterprise data architecture vision, standards, and multi-year roadmap across ingestion, storage, transformation, discovery, and governance. Design scalable, secure, highly available lake/lakehouse/warehouse and real-time streaming architectures using modern cloud-native technologies (including GCP and Snowflake). Lead target-state migration to cloud platforms, establish governance/lineage frameworks, and guide API/event-driven integration designs while mentoring teams and reviewing architecture decisions.

Location: Bengaluru, Pune, Hyderabad

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Define and own enterprise data architecture vision, standards, and a multi-year roadmap across ingestion, storage, transformation, discovery, and governance.
•Design scalable, secure, and highly available data architectures (data lakes, lakehouses, data warehouses, and real-time streaming systems) using cloud-native technologies.
•Lead target-state architecture and migration strategies to modernize legacy data infrastructure onto cloud-native platforms (e.g., GCP, Snowflake).
•Establish architectural standards and best practices for data modeling, integration, metadata management, and platform security, including governance/lineage frameworks.
•Provide architectural oversight and design reviews, and mentor engineers and architects to ensure reliability, scalability, performance, and security requirements are met.

Key Requirements

•Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
•13+ years of professional experience in data architecture, data engineering, or large-scale data platform design.
•Deep expertise designing enterprise data architectures including 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 across relational, dimensional, and NoSQL paradigms.

Experience:13+ yearsData architectureData engineeringEnterprise data platforms

Education:Bachelor's

Skills:CommunicationInfluencingStakeholder managementMentorshipCollaboration

Tech Stack:SnowflakeDbtPythonSQLAWSGCPBigQueryAirflowInformaticaKafkaPub/SubDockerKubernetesTerraformCloudFormationCI/CDMicroservices

Company Brief

Cisco

Global technology company that designs, manufactures, and sells networking hardware, telecommunications equipment, and high-technology services and products for enterprises, service providers, and governments worldwide.

Industry: Networking Equipment

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1984

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Cisco

1 day ago

Data Architect - 13+ years exp, Snowflake, dBT, Python

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Bengaluru, Pune, Hyderabad

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Define and own enterprise data architecture vision, standards, and a multi-year roadmap across ingestion, storage, transformation, discovery, and governance.
•Design scalable, secure, and highly available data architectures (data lakes, lakehouses, data warehouses, and real-time streaming systems) using cloud-native technologies.
•Lead target-state architecture and migration strategies to modernize legacy data infrastructure onto cloud-native platforms (e.g., GCP, Snowflake).
•Establish architectural standards and best practices for data modeling, integration, metadata management, and platform security, including governance/lineage frameworks.
•Provide architectural oversight and design reviews, and mentor engineers and architects to ensure reliability, scalability, performance, and security requirements are met.

Key Requirements

•Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
•13+ years of professional experience in data architecture, data engineering, or large-scale data platform design.
•Deep expertise designing enterprise data architectures including 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 across relational, dimensional, and NoSQL paradigms.

Experience:13+ yearsData architectureData engineeringEnterprise data platforms

Education:Bachelor's

Skills:CommunicationInfluencingStakeholder managementMentorshipCollaboration

Tech Stack:SnowflakeDbtPythonSQLAWSGCPBigQueryAirflowInformaticaKafkaPub/SubDockerKubernetesTerraformCloudFormationCI/CDMicroservices

Company Brief

Cisco

Industry: Networking Equipment

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1984

Glassdoor: 4.0

Website LinkedIn Glassdoor