Data Architect

Akaasa Technologies

Irving (TX)

Hybrid

USD 130,000 - 180,000

Full time

8 days ago
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Job summary

Akaasa Technologies in Irving, TX is seeking a Senior Data Architect to define and govern enterprise data architecture, data models and integration frameworks. You will lead scalable analytics projects, leveraging Snowflake, Teradata SQL and Talend ETL/ELT pipelines in a hybrid work setting.

Collaborate with business stakeholders and engineers to translate complex data needs into reliable, high-performance data assets while enforcing governance and security standards across the organization.

Qualifications

  • 8+ years in AI data processing.
  • 8+ years in Snowflake data warehouse.
  • 8+ years of Talend ETL/ELT experience.

Responsibilities

  • Define and govern enterprise data architecture, conceptual/logical data models, and integration frameworks to support scalable AI and analytics platforms.
  • Design, develop, and optimize high-throughput ETL/ELT data pipelines using Talend to ensure seamless data flow across systems.
  • Architect, configure, and optimize enterprise data warehouse environments leveraging Snowflake and Teradata SQL.
  • Partner with cross-functional business stakeholders and software engineers to align data strategy with enterprise requirements.

Skills

AI Data Processing
Snowflake Data Warehouse
Talend ETL/ELT

Job description

Data Architect
Location: Irving, TX (Hybrid - 3 days/week)
POSITION OVERVIEW

The CX Data Architecture team is seeking a Senior Data Architect to define, govern, and scale enterprise data architecture, data models, and integration frameworks. In this role, you will lead the technical design for scalable analytics solutions, leveraging modern AI data processing, cloud data warehousing, and robust ETL/ELT pipelines. You will collaborate closely with business stakeholders, application engineers, and delivery teams to translate complex business needs into high-performing data assets.

DAY-TO-DAY RESPONSIBILITIES
  • Define and govern enterprise data architecture, conceptual/logical data models, and integration frameworks to support scalable AI and analytics platforms.
  • Design, develop, and optimize high-throughput ETL/ELT data pipelines using Talend to ensure seamless data flow across systems.
  • Architect, configure, and optimize enterprise data warehouse environments leveraging Snowflake and Teradata SQL.
  • Partner with cross-functional business stakeholders and software engineers to align data strategy with enterprise requirements.
  • Establish and enforce strict data governance, quality, security, and compliance standards across all data assets.
  • Lead architectural design discussions, mentor delivery teams, and resolve complex data integration or performance bottlenecks.
REQUIRED SKILLS
  • AI Data Processing (8+ years)
  • Snowflake Data Warehouse (8+ years)
  • Talend ETL/ELT (8+ years)
ADDITIONAL DESIRED SKILLS
  • Teradata SQL Architecture
  • Enterprise Data Governance & Compliance
  • Cloud Data Strategy & Modernization
CANDIDATE PROFILE

The ideal candidate is a Level 8 Senior Data Architect with deep technical mastery in cloud data warehousing, enterprise integration pipelines, and AI data processing paradigms. They thrive in hybrid environments, possess strong technical leadership skills, and have a proven track record of architecting scalable enterprise data solutions.

Job Responsibilities
  • Architect and scale enterprise data solutions leveraging Snowflake, Teradata, and AI data processing frameworks.
  • Design and optimize robust ETL/ELT pipelines utilizing Talend to ensure seamless data movement and reliability.
  • Partner with cross-functional leadership to translate business requirements into future-proof technical architectures.
  • Establish standards for data governance, quality, security, and performance across enterprise systems.
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