Sr ETL Architect (Snowflake & AWS)

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 6 Month(s)

Skills

Snowflake certification (SnowPro Architect/Advanced).
modern data orchestration frameworks (Airflow dbt Step Functions).
Background in big data ecosystems (Hadoop Spark).
DevOps
CI/CD pipelines
Infrastructure as Code (IaC) for data deployments.
streaming technologies (Kafka Kinesis Spark Streaming)
Solid understanding of data lake and data warehouse architectures.
Strong programming and scripting skills (SQL Python Shell Scala or Java).
ETL/ELT design and implementation using tools like Informatica
Talend
Matillion
AWS Glue
Strong knowledge of AWS services such as S3
Redshift
Glue
Lambda
EC2
RDS
CloudFormation
and IAM.
Snowflake (Data Modeling Virtual Warehouses Query Performance Tuning Security & Access Control).
data engineering
ETL development
data architecture.
ETL/ELT tools
SQL
and Python/Scala.

Job Details

Hi,

Greetings from DIA SOFTWARE SOLUTIONS LLC!

We reaching out about an exciting Direct client opportunity with one of our clients. Please review the requirements and let me know if you are interested in this position?

Direct client Req:: Need Sr ETL Architect (Snowflake & AWS), Onsite

PLEASE SEND THE RESUMES TO SKUMAR AT DIASOFTWARESOLUTIONS DOT COM !

Job Description:

  • We are seeking an experienced ETL Architect with strong expertise in Snowflake and AWS Cloud ecosystem to design, develop, and optimize data integration solutions. The ideal candidate will be responsible for architecting scalable ETL pipelines, enabling efficient data movement, transformation, and integration across enterprise systems to support business intelligence, analytics, and advanced data initiatives.

Key Responsibilities

  • Design and implement ETL architecture, frameworks, and best practices for large-scale data integration projects.
  • Architect and optimize Snowflake-based data warehouse solutions including schema design, performance tuning, and query optimization.
  • Lead the migration of existing data platforms to AWS cloud-native solutions.
  • Develop robust data pipelines using ETL/ELT tools, SQL, and Python/Scala.
  • Integrate data from diverse sources (databases, APIs, streaming platforms, flat files, SaaS applications).
  • Implement data governance, metadata management, and security best practices across data pipelines.
  • Collaborate with data engineers, analysts, and business stakeholders to ensure high-quality, reliable data delivery.
  • Drive automation of data workflows, monitoring, and error handling.
  • Provide technical leadership, mentoring, and architectural guidance to engineering teams.

Required Skills & Qualifications

  • 10+ years of experience in data engineering, ETL development, or data architecture.
  • Proven expertise with Snowflake (Data Modeling, Virtual Warehouses, Query Performance Tuning, Security & Access Control).
  • Strong knowledge of AWS services such as S3, Redshift, Glue, Lambda, EC2, RDS, CloudFormation, and IAM.
  • Hands-on experience with ETL/ELT design and implementation using tools like Informatica, Talend, Matillion, AWS Glue, or equivalent.
  • Strong programming and scripting skills (SQL, Python, Shell, Scala or Java).
  • Solid understanding of data lake and data warehouse architectures.
  • Experience with streaming technologies (Kafka, Kinesis, Spark Streaming) is a plus.
  • Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC) for data deployments.
  • Excellent problem-solving, communication, and leadership skills.

Preferred Qualifications

  • Snowflake certification (SnowPro Architect/Advanced).
  • Experience with modern data orchestration frameworks (Airflow, dbt, Step Functions).
  • Background in big data ecosystems (Hadoop, Spark).

DIA SOFTWARE SOLUTIONS LLC.

Austin, TX 78727| Direct:

DIA SOFTWARE SOLUTIONS is an Affirmative Action/Equal Opportunity Employer that supports workplace diversity. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All Diasoft staff must be able to demonstrate the legal right to work in the United States. DIA SOFTWARE SOLUTIONS is an E-Verify employer

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About Dia Software Solutions