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
