Empower

Data Architect

Empower
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22 hours ago
Remote, United StatesSenior / Staff+

Base Salary

$138k - $200k/yr

Responsibilities

  • Analyze complex data sets and translate findings into scalable data architectures and models.
  • Design and implement end-to-end data architectures for analytics and operational use cases.
  • Develop and maintain logical and physical data models, data flows, and architecture documentation.
  • Optimize models, partitioning strategies, and schemas for dashboards, reporting, visualization, scalability, reliability, and performance.
  • Design cloud-native solutions, modernization approaches, and migration strategies.
  • Apply data governance, security, privacy, compliance, data quality, DevOps, and DataOps practices.
  • Collaborate with engineering, infrastructure, security, analytics, and business teams on architecture and design reviews.
  • Support 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.

Requirements

  • 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, including at least 5 years in a data-centric role.
  • Strong experience with logical and physical data modeling and tools such as ER/Studio, ERwin, or PowerDesigner.
  • Advanced SQL skills and experience with relational databases such as Oracle, SQL Server, PostgreSQL, DB2, or Redshift.
  • Experience with AWS, Azure, or GCP; big data frameworks such as EMR or Spark; and distributed data processing, data integration, and NoSQL technologies.
  • Understanding of data lakes, data warehouses, lakehouses, streaming platforms, data governance, data quality, privacy, and security practices.
  • Experience with analytics and visualization tools such as Tableau, Cognos, BusinessObjects, MicroStrategy, SAS, or SPSS.
  • Proficiency in Python, R, or SQL.
  • Experience with DevOps and DataOps practices, including CI/CD pipelines and infrastructure-as-code.
  • Strong analytical, critical-thinking, problem-solving, communication, and cross-functional collaboration skills.

Benefits

  • Medical, dental, vision, and life insurance.
  • 401(k) retirement plan with company matching contributions up to 6%, potential discretionary contributions, financial advisory services, and investment options.
  • Tuition reimbursement up to $5,250 per year.
  • Flexible work environment with a business-casual dress policy and option to wear jeans.
  • Paid time off upon hire, including a paid time off program, ten company holidays, and three floating holidays annually.
  • 16 hours of paid volunteer time per calendar year.
  • Paid parental leave, paid short- and long-term disability, and Family and Medical Leave programs.
  • Business Resource Groups supporting inclusion and collaboration.
  • Remote and hybrid employees must provide reliable high-speed wired internet and an adequately equipped home workspace; necessary computer equipment will be provided.

Tech Stack

Amazon RedshiftApache SparkAWSAzureGoogle Cloud PlatformIBM DB2Microsoft SQL ServerPostgreSQLPythonRSassSQL

Categories

Data Engineering
Empower

About Empower

10,000+ employees
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