Data Architect

Empower

. Analyze large and complex data sets to identify trends, patterns, and insights .

Posted 9/22/2026full-timeRemote • United StatesSeniorLead💰 $138,000 - $200,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data architecture and engineering, with a strong focus on data modeling, cloud solutions, and compliance standards. Proficient in translating business requirements into actionable data solutions while ensuring scalability, reliability, and performance.

Highest-signal resume keywords

Data Architecture DesignLogical And Physical Data ModelingAdvanced SQL SkillsExperience With AWS, Azure, Or GCPDevOps And DataOps Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData LakesData WarehousesBatch ProcessingEvent-Driven ProcessingChange Data CaptureDistributed Data ProcessingNoSQL TechnologiesPythonR

Soft Skills

Analytical SkillsCritical ThinkingProblem-SolvingWritten CommunicationVerbal Communication

Tools & Technologies

ER/StudioERwinPowerDesignerOracleSQL ServerPostgreSQLDB2RedshiftTableauSpark

Industry Keywords

Data GovernanceData QualityData PrivacySecurity PracticesCI/CD PipelinesInfrastructure-As-Code

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureCloudCognosGoogle Cloud PlatformNoSQLOraclePostgresPythonSparkSQLTableau

About the role

Key responsibilities & impact

Analyze large and complex data sets to identify trends, patterns, and insights
Design and implement end-to-end data architectures for ingestion, storage, processing, and consumption
Develop and maintain logical and physical data models, data flows, and architecture documentation
Create and optimize data models for dashboards, reporting, and data visualization tools
Apply data lakes, data warehouses, lakehouses, batch processing, event-driven processing, and change data capture patterns
Design cloud-native and cloud-compatible solutions, including modernization and migration strategies
Ensure data solutions meet governance, security, privacy, and compliance standards
Design for scalability, reliability, and performance through partitioning and schema optimization
Collaborate with engineering, infrastructure, security, and business teams
Participate in architecture and design reviews, identifying risks, trade-offs, and optimization opportunities
Support DevOps and DataOps practices, including CI/CD pipelines and infrastructure-as-code
Provide technical guidance and mentorship on data architecture and modeling best practices
Translate business requirements into data quality standards and actionable data solutions
Refine models, methodologies, and architectures based on feedback and evolving business needs

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Business, or equivalent experience
7–10 years of experience in data engineering, data architecture, analytics engineering, or related technical roles
Minimum of 5+ years in a data-centric role
Strong experience in logical and physical data modeling
Experience with ER/Studio, ERwin, or PowerDesigner
Advanced SQL skills
Experience with Oracle, SQL Server, PostgreSQL, DB2, or Redshift
Experience with AWS, Azure, or GCP
Experience with EMR or Spark
Strong understanding of data lakes, data warehouses, lakehouses, and streaming platforms
Hands-on experience with distributed data processing, data integration, and NoSQL technologies
Experience with graph, key-value, and columnar technologies
Experience with Tableau, Cognos, BusinessObjects, MicroStrategy, SAS, or SPSS
Proficiency in Python, R, or SQL
Understanding of data governance, data quality, data privacy, and security practices
Experience with DevOps and DataOps, CI/CD pipelines, and infrastructure-as-code
Strong analytical, critical thinking, and problem-solving skills
Excellent written and verbal communication skills
Ability to work independently and collaboratively within cross-functional teams
Applicants must be authorized to work for any employer in the U.S.; no employment visa sponsorship or takeover of sponsorship available
Reliable high-speed internet with a wired connection and a suitable home workspace for remote work

Benefits

Comp & perks

Medical, dental, vision and life insurance
401(k) plan with generous company matching contributions up to 6%
Financial advisory services
Potential company discretionary contribution
Broad investment lineup
Tuition reimbursement up to $5,250/year
Business-casual environment with the option to wear jeans
Generous paid time off upon hire
Ten paid company holidays and three floating holidays each calendar year
Paid volunteer time — 16 hours per calendar year
Paid parental leave
Paid short- and long-term disability
Family and Medical Leave (FMLA)
Business Resource Groups (BRGs)
Flexible work environment
Other necessary computer equipment provided
Remote-work support requiring reliable high-speed wired internet and a suitable home workspace