Togetherwork

Enterprise Data Architect

Togetherwork

full-time

Posted on:

Location Type: Hybrid

Location: Austin • Texas • United States

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Job Level

SeniorLead

Tech Stack

AirflowAmazon RedshiftAWSCloudDistributed SystemsETLPythonSQLVault

About the role

  • Define and evolve the enterprise data architecture roadmap across our product portfolio
  • Design AWS-native data architectures leveraging services such as S3, Redshift, Glue, Lambda, Kinesis, RDS, Aurora, and EMR
  • Establish standards for ingestion, transformation, storage, modeling, governance, and security
  • Design and implement batch and real-time ingestion pipelines across API, CDC, streaming, and batch patterns
  • Build and optimize ETL and ELT workflows using AWS Glue, Lambda, Airflow, dbt, or similar frameworks
  • Architect scalable data lakes and enterprise warehouse solutions
  • Lead logical and physical data modeling, including dimensional, normalized, and Data Vault approaches
  • Design canonical data models, semantic layers, and analytics-ready data marts
  • Implement data governance frameworks aligned with AWS security best practices, including IAM and encryption standards
  • Establish data quality monitoring, lineage tracking, and observability standards
  • Optimize performance, reliability, and cost efficiency across distributed AWS data environments
  • Mentor data engineers, conduct code reviews, and enforce best practices across teams
  • Communicate architectural strategy, trade-offs, and investment priorities to technical and executive stakeholders

Requirements

  • 8+ years of experience in data engineering or data architecture
  • Proven experience designing and implementing enterprise-scale data platforms in AWS
  • Deep hands-on expertise with AWS data services including S3, Redshift, Glue, Lambda, Kinesis, RDS/Aurora, and EMR
  • Strong experience with cloud-native data lake and warehouse architectures
  • Advanced SQL skills and strong proficiency in Python
  • Experience building ETL and ELT pipelines and implementing workflow orchestration tools
  • Strong understanding of IAM, networking, encryption, and AWS security best practices
  • Experience optimizing distributed systems for performance and cost efficiency
  • Experience implementing CI/CD practices for data engineering workflows
  • Experience operating within multi-product or multi-tenant SaaS environments preferred
Benefits
  • Medical, dental, and vision insurance options
  • 100% Employer paid short/long term disability
  • Basic Life
  • 401(k) option with 100% company match up to 4%
  • Flexible paid personal/vacation time built on mutual trust and accountability
  • 10 sick days annually
  • 10 company paid holidays
  • 6 weeks paid parental leave
  • Pet Insurance
  • Medical Travel Benefits
  • Infertility Benefits
  • Teladoc
  • Employee Assistance Program
  • Wellness Benefits & Engagement Platform
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data architectureAWSETLELTSQLPythondata modelingdata governancedata quality monitoringworkflow orchestration
Soft Skills
mentoringcommunicationleadership