Opening For - Bigdata Architect with Snowflake Cortex

SP Staffing; India; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

SP Staffing is seeking an experienced architect to design and lead Snowflake-based data solutions on AWS, covering big data and data warehousing. The role demands deep architectural expertise, secure data sharing, and leadership to guide technical teams through end-to-end implementation.

Ideal candidates bring 12–20 years of experience, familiarity with GDPR, and strong skills in Snowflake, Spark, Airflow and Hadoop ecosystems. Interview rounds include technical, managerial, and HR discussions.

Qualifications

• 10+ years in architecting solutioning for Snowflake, AWS Big Data and DW.
• Experience with GDPR compliant data sharing and secure data environments.
• Hands-on with ingestion/extraction frameworks reducing repetitive work.
• Knowledge of Snowflake, Spark, PySpark; AWS ecosystem (S3, EC2).
• Familiar with Hadoop tools (Hive, HBase, Pig) and BI reporting basics.
• Proficient in technical documents: UML, HLD, LLD.

Responsibilities

• Lead high-level requirement gathering, consulting and design of technical architecture.
• Create designs and frameworks for models; ensure adherence to overall architecture.
• Technically lead projects through lifecycle; capture requirements and validate systems.
• Direct the team for PoCs and critical architectural decisions.
• Collaborate with client architects and BA teams to finalize architecture.
• Develop Solutioning HLD for new applications; review code and provide guidelines.

Skills

Snowflake

AWS

Big Data

Solution Architecture

Data Modeling

PySpark

Airflow

Kafka

Hadoop

Security & GDPR

Tools

Snowflake Cortex

Spark

NiFi

Lambda

GCS/S3

Job description

Job Description

Location: Pan India

Experience : 12 Yrs- 20 yrs

Interview Mode:Virtual Interview

Interview Process: Technical & Managerial / HR round

Qualifications

• Minimum 10+ years year experience of Architecting Solutioning both in Snowflake AWS Big Data and DW
• GDPR AWS Snowflake Understanding on Snowflake Cortex for Generative AI
• Implementation Experience on framework which can helpReduce the Estimation and cost in Repeating work ie Ingestion or Extraction of data
• Open understand newly introduced feature around Snowflake
• Look for new approach and solution based on customer standard
• Understanding Secure coding standard secure data sharing Data clean room Etc
• Experience on Snowflake and Spark preferred PySpark other Big Data Projects
• Experience in working on Cloud Implementations AWS ecosystem S3 EC2
• Good knowledge of Hadoop ecosystem tools Hive HBase Pig
• Knowledge of Airflow NiFi Kafka Panda Lambda Snowflake preferable
• Knowledge of BI reporting tools and frameworks is advantageous
• Experience in migration of data from legacy system would be an added advantage
• Hands on with Linux Database Dataenter setup SQL Java parallel processing
• Should have the sound knowledge on Cloud Implementation preferably AWS
• Should have knowledge on Data Ingestion batch and realtime
• Design recommend the database objects design cluster requirement
• Should be proficient in technical documents like UML HLD LLD

Responsibilities

• Responsible for high level requirement gathering consulting design development and definition of the technical architecture as per business requirements
• Enable the creation of designs and frameworks for models and validate their adherence with the overall architecture
• Will be responsible for technically leading the software projects through all stages of the life cycle including responsibility for requirements capture design development and acceptance testing
• Lead and direct the technical team to do POC to take the critical architectural decision
• Work with client architects team to complete the architecture
• Work closely with BA team to groom technical requirements and validation the system requirements
• Create the Solutioning HLD for the new applications
• Review the code and provide the guidelines to the technical lead