Snowflake Data Architect - Snowflake, Databricks & Cloud
RELIANCESOFT SYSTEMS INC
Snowflake, AZ, United States
4 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Unity 3d
Third Normal Form
Artificial Intelligence
Airflow
Amazon Web Services
Amazon S3
Microsoft Azure
BigQuery
Cloud Computing
Continuous Integration
Data Architecture
Information Engineering
+30 more
Data Governance
Extract Transform Load (ETL)
Data Security
Data Vault Modeling
Data Warehousing
Data Flow Control
Python (Programming Language)
Meta-Data Management
Microsoft SQL Server
Oracle (Applications)
Performance Tuning
Role-Based Access Control
Cloud Services
Data Mesh
Azure Machine Learning
Scala (Programming Language)
SQL Databases
Data Streaming
Teradata SQL
Google Cloud
Snowflake
Apache Spark
Data Lakes
Pyspark
Information Technology
Data Lineage
Apache Kafka
Machine Learning Operations
Data Pipelines
Databricks
Job description
- Define enterprise data architecture, strategy, roadmap, data modeling and governance framework.
- Architect and design scalable, secure, high-performance Data Warehouse, Data Lake and Lakehouse solutions on Snowflake and Databricks.
- Design cloud-native data platforms on AWS/Azure/Google Cloud Platform including storage, compute, security and cost optimization.
- Lead migration from legacy warehouses (Teradata, Oracle, SQL Server) to Snowflake / Databricks on Cloud.
- Architect solutions using Snowflake features (Snowpipe, Streams, Tasks, Time Travel) and Databricks features (Delta Lake, PySpark, Delta Live Tables, Unity Catalog, MLflow).
- Provide technical leadership to data engineering teams for ETL/ELT design using ADF, Glue, Airflow, dbt, Informatica.
- Define best practices for data modeling (3NF, Dimensional, Data Vault 2.0), performance tuning and security (RBAC, masking, encryption).
- Establish data governance, data quality, metadata management and data lineage.
- Conduct architecture reviews, mentor senior engineers and ensure adherence to standards.
Requirements
We are seeking a highly experienced Data Architect with proven expertise in Snowflake, Databricks and Cloud platforms (AWS/Azure/Google Cloud Platform) to define and lead our enterprise data architecture and modernization journey., * 12-15 years of IT experience with minimum 5+ years as Data Architect.
- Expert hands-on in Snowflake - Architecture, Performance Tuning, Security, Cost Governance.
- Expert hands-on in Databricks - Apache Spark, Delta Lake, Unity Catalog, Performance Optimization.
- Strong experience in at least one cloud - AWS (S3, Redshift, EMR, Lambda), Azure (ADLS, Synapse, Data Factory), Google Cloud Platform (BigQuery, GCS, Dataflow).
- Strong in SQL, Python/Scala, Data Modeling, ETL/ELT.
- Experience with dbt, Airflow, Kafka, CI/CD for data pipelines.
- Experience with Medallion and Lakehouse Architecture.
- Strong knowledge of Data Security, Governance and Compliance.
<>Preferred Skills:
- Certifications - SnowPro Advanced Architect, Databricks Architect, AWS/Azure Solutions Architect.
- Experience with Real-time Streaming, Data Mesh, AI/ML platforms.
- Experience in pre-sales and client architecture discussions.
Education: B.E/B.Tech/M.Tech/MCA or equivalent.
Benefits & conditions
Depends on Experience
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