Data Architect | C2C Profiles | Onsite

  • Austin, TX
  • Posted 15 hours ago | Updated 15 hours ago

Overview

On Site
Depends on Experience
Contract - W2
Able to Provide Sponsorship

Skills

ETL
Data warehouse
AWS
SQL

Job Details

Role: Data Architect
Location: Austin TX- Onsite
Key Responsibilities:
  • Design and implement data architecture frameworks, ensuring scalability, performance, and security.
  • Define data modeling standards, metadata management, and master data management (MDM) strategies.
  • Collaborate with stakeholders to understand business needs and translate them into data solutions.
  • Develop and optimize ETL/ELT pipelines for data integration from various sources.
  • Oversee implementation of data lakes, data warehouses, and cloud-based solutions (AWS, Azure, Google Cloud Platform).
  • Ensure compliance with data governance, privacy, and security policies.
  • Partner with data engineers, analysts, and business teams to ensure consistent and reliable data delivery.
  • Evaluate and recommend emerging data technologies and best practices.
Required Skills and Qualifications:
  • Bachelor s or Master s degree in Computer Science, Information Systems, Data Engineering, or related field.
  • 8+ years of experience in data management, including 3+ years as a Data Architect.
  • Strong experience with data modeling (conceptual, logical, physical) using tools like ERwin, PowerDesigner, or Lucidchart.
  • Hands-on experience with cloud data platforms such as AWS Redshift, Azure Synapse, Snowflake, or Google BigQuery.
  • Expertise in SQL and proficiency with ETL/ELT tools (Informatica, Talend, Azure Data Factory, etc.).
  • Strong understanding of data governance, data quality, and metadata management.
  • Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB) and data lake architectures.
  • Familiarity with Python, Spark, or Databricks is a plus.
Preferred Qualifications:
  • Experience in data mesh, data fabric, or real-time streaming architectures (Kafka, Kinesis).
  • Certification in AWS Data Analytics, Azure Data Engineer, or Google Cloud Data Engineer.
  • Prior experience in enterprise-level data modernization or migration projects.

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