20 days ago
Hyderābād, IndiaStaff+
Responsibilities
- Define enterprise data platform architecture, technical standards, integration patterns, and lifecycle management.
- Design and implement reliable batch and streaming ingestion and transformation pipelines using Snowflake and orchestration tools.
- Establish data modeling, versioning, testing, documentation, CI/CD, environment promotion, and automated data quality practices.
- Lead Snowflake workload management, query optimization, clustering, caching, resource monitoring, reliability, and cost optimization.
- Define data access, privacy, security, governance, retention, auditing, data sharing, and cleanroom patterns.
- Own SLAs/SLOs, incident runbooks, lineage-aware impact analysis, and post-incident reviews for key data products.
- Serve as a principal technical authority, mentor engineers, author architecture decisions and roadmaps, and present technical tradeoffs to executives.
- Collaborate with Product, Analytics, ML, Security, and GRC stakeholders to deliver reusable data products and drive organizational change.
Requirements
- At least 12 years of experience in data engineering or architecture and at least 6 years designing and operating Snowflake at scale.
- 15 years of full-time education.
- Expert SQL skills and deep knowledge of Snowflake internals, including virtual warehouses, micropartitions, clustering, Query Profile, caching, Time Travel, and Fail-safe.
- Hands-on experience with Snowpipe, Streams and Tasks, stages or external tables, materialized views, and Secure Data Sharing.
- Experience with dbt or another transformation framework and programming with Python, Snowpark, or user-defined functions.
- Experience with orchestration tools, CI/CD platforms, and infrastructure as code using Terraform.
- Fluency with AWS, Azure, or GCP; object storage; and cloud networking such as VPC/VNet, PrivateLink, or Private Endpoints.
- Experience with Fivetran and streaming technologies such as Kafka or Pulsar.
- Knowledge of data governance, catalog and lineage tools, privacy and security controls, observability, data contracts, and data quality frameworks.
- Strong communication, business acumen, decision-making, stakeholder engagement, and technical leadership skills.
- SnowPro Advanced Architect or Advanced Data Engineer certification is preferred.
Tech Stack
Apache AirflowApache KafkaArgo CDAWSAzuredbtGitHub ActionsGoogle Cloud PlatformJenkinsPythonSnowflakeSQLTerraform
Categories
Data Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.