Snowflake Architect

Ascendion; Bengaluru; Hybrid; INR 3,500,000 - 7,000,000; Full time

Job summary

Ascendion is seeking an experienced Senior Snowflake Architect to lead complex data platform migration and modernization projects on Snowflake. You will own end-to-end solutioning for client engagements migrating legacy warehouses and ETL platforms to Snowflake, and modernizing transformations using ELT tooling.

This hands-on, client-facing role requires leadership across pre-sales and delivery teams, shaping proposals, and guiding deployment squads to successful production go-lives with minimal

Qualifications

• 8 to 12 years in data warehousing, data engineering, or analytics platform architecture.
• At least 4 years hands-on Snowflake delivery.
• Snowflake mastery: virtual warehouses, RBAC, resource monitors, micro-partitioning, time travel, secure data sharing.
• Strong SQL plus Python; experience with Snowpark, Airflow, and cloud-native ingestion tools.
• Hands-on architecture on AWS, Azure, or GCP including IAM, networking, storage, key management with Snowflake.
• Deep familiarity with data governance—masking policies, row-level security, tagging, and catalog tools.
• FinOps: design and operate cost-optimized Snowflake deployments with proper sizing and chargeback.
• Strong communication; experience writing SOWs, estimations, and architecture docs.
• SnowPro Core certification is required.

Responsibilities

• Own end-to-end target-state Snowflake architecture for migrations and modernization projects.
• Lead assessments of Teradata, Oracle, Netezza, SQL Server, and Hadoop estates; map workloads and migrations.
• Define migration patterns (lift-and-shift, re-platform, re-engineer) per workload based on TCO and risk.
• Architect ELT pipelines on Snowflake using dbt or similar tooling; define models and CI/CD.
• Design ingestion and transformation frameworks using Snowpark, Streams & Tasks, Snowpipe.
• Provide technical leadership to delivery pods of 6–20 engineers across multiple tracks.
• Drive automation of SQL conversion, data validation, and reconciliation with Snowflake tooling.
• Conduct architecture and code reviews; enforce standards and reusable patterns.
• Own production cutover planning, rollback strategies, and hypercare.
• Support pre-sales—lead solution workshops, RFPs, estimations, and SOWs.

Skills

Snowflake delivery

Data warehousing

SQL

Python

Snowpark

Airflow

dbt/ELT tooling

Cloud platforms

Governance & security

FinOps

Consulting

Education

SnowPro Core certification

Tools

dbt

Fivetran

Matillion

Informatica IDMC

Azure Data Factory (ADF)

AWS Glue

SnowConvert

Bladebridge

Datametica

Job description

About Ascendion

Ascendion is a leading provider of AI-Native software engineering services. Our applied AI, software engineering, cloud, data, experience design, and talent transformation capabilities accelerate innovation for Global 2000 clients. Ascendion is headquartered in New Jersey. In addition to our remote/hybrid workforce, we have a presence in 12 countries and 40+ global offices across North America, Europse, and APAC. We are committed to building technology powered by Generative AI with an inclusive workforce, service to our communities, and a vibrant culture. For more information, please go to www.ascendion.com.

About Ascendion

Ascendion is a leading provider of AI-Native software engineering services. Our applied AI, software engineering, cloud, data, experience design, and talent transformation capabilities accelerate innovation for Global 2000 clients. Ascendion is headquartered in New Jersey. In addition to our remote/hybrid workforce, we have a presence in 12 countries and 40+ global offices across North America, Europse, and APAC. We are committed to building technology powered by Generative AI with an inclusive workforce, service to our communities, and a vibrant culture. For more information, please go to www.ascendion.com.

Experience a community of change makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

Role Summary

Ascendion is hiring a Senior Snowflake Architect to lead the architecture and delivery of complex data platform migration and modernization programs on Snowflake. You will own end-to-end solutioning for client engagements that involve migrating legacy data warehouses (Teradata, Oracle Exadata, Netezza, SQL Server, Hadoop) and ETL platforms (Informatica, DataStage, Ab Initio, SSIS) onto Snowflake, and modernizing transformations using ELT tooling such as dbt. This is a hands-on, client-facing role. You will partner with pre-sales and delivery teams — shaping proposals, leading discovery workshops, owning target-state architecture, and steering delivery squads to production golive.

Key Responsibilities

• Own end-to-end target-state Snowflake architecture for enterprise migration and modernization engagements, including landing zone, RBAC, data sharing, and multi-account design.
• Lead current-state assessments of legacy Teradata, Oracle, Netezza, SQL Server, and Hadoop estates; build workload heat maps and migration wave plans.
• Define migration patterns (lift-and-shift, re-platform, re-engineer) and decide the right approach per workload based on TCO, risk, and business value.
• Architect ELT pipelines on Snowflake using dbt or comparable transformation tooling — establish project structure, model layering (staging, intermediate, marts), testing, documentation, and CI/CD.
• Design ingestion and transformation frameworks using Snowpark, Streams & Tasks, Dynamic Tables, and Snowpipe for batch, micro-batch, and streaming sources.
• Provide technical leadership to delivery pods of 6 to 20 engineers across data engineering, SQL conversion, ELT modeling, testing, and DevOps tracks.
• Drive automation of SQL conversion, data validation, and reconciliation using Snowflake-native tooling and accelerators such as SnowConvert, Bladebridge, or Datametica.
• Conduct architecture and code reviews; enforce engineering standards, naming conventions, and reusable patterns across ELT projects.
• Own production cutover planning, rollback strategy, and hypercare — ensuring zero data loss and minimal business disruption.
• Support pre-sales — lead solution workshops, RFP responses, estimations, and SOW construction for qualified Snowflake opportunities.

Must-Have Qualifications

• Experience: 8 to 12 years in data warehousing, data engineering, or analytics platform architecture, with at least 4 years hands-on Snowflake delivery.
• Migration depth: Led at least 2 end-to-end migrations from a legacy MPP/EDW (Teradata, Netezza, Exadata, SQL Server, or Hadoop) to Snowflake at enterprise scale.
• Snowflake mastery: Strong command of virtual warehouses, RBAC, resource monitors, micro-partitioning, clustering, query profile analysis, time travel, zero-copy clone, secure data sharing, and replication/failover.
• Data engineering: Expert SQL plus working proficiency in Python; production experience with Snowpark, Airflow, and at least one cloud-native ingestion tool (Fivetran, Matillion, Informatica IDMC, ADF, AWS Glue).
• Cloud fluency: Hands-on architecture experience on at least one of AWS, Azure, or GCP — including IAM, networking (PrivateLink), storage, and key management interplay with Snowflake.
• Governance & security: Deep familiarity with data governance constructs — masking policies, row access policies, tagging, object dependencies, and integration with Collibra, Alation, or Atlan.
• FinOps: Demonstrated ability to design and operate cost-optimized Snowflake deployments — warehouse sizing strategy, workload isolation, query tuning, and chargeback models.
• Consulting craft: Strong written and verbal communication; comfort engaging with senior client stakeholders; experience writing SOWs, estimations, and architecture documents to publication quality.
• Certification: SnowPro Core certification required.

Nice-to-Have

• SnowPro Advanced: Architect certification.
• Hands-on experience with dbt (dbt Core or dbt Cloud) on Snowflake — model layering, macros, tests, snapshots, and CI/CD; or equivalent experience with similar ELT tooling such as Coalesce, Matillion, or Informatica IDMC.
• Experience with Snowflake Cortex (LLM functions, Cortex Search, Cortex Analyst) for GenAI use cases.
• Hands-on with Apache Iceberg or open-table-format interoperability patterns.
• Exposure to streaming architectures using Kafka, Kinesis, Snowpipe Streaming, or Dynamic Tables.
• Industry depth in one or more of Banking & Financial Services, Healthcare & Life Sciences, Retail & CPG, or Manufacturing.
• Prior experience working in a Snowflake Premier or Elite Partner organization.