Data Architect - 13+ years exp, Snowflake, dBT, Python
On-siteBengaluru, Karnataka, India or Pune, Maharashtra, India
Job Summary
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, and real-time streaming systems—leveraging modern cloud-native technologies. Establish architectural standards, reference patterns, and best practices for data modeling, integration, metadata management, and platform security across teams. Lead architecture decisions for platform modernization, evaluating and selecting technologies to optimize efficiency, cost, and scale. Partner closely with engineering, analytics, and business leaders to translate strategic priorities into robust, well-governed data solutions. Mentor engineers and architects, fostering a culture of technical excellence and knowledge sharing. Act as a key technical advisor to leadership, influencing architecture decisions and strategic direction across the data organization.
Required 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
Desired 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
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