Data Architect

🕒 2 days ago

🇺🇸 United States – Remote

💵 $125.4k - $181.9k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

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Empower

WebsiteLinkedInAll Job Openings

10,000+ employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower is a leading provider of financial services focused on helping individuals and organizations achieve financial freedom through retirement planning and investment management. Serving over 19 million Americans, Empower offers a comprehensive suite of finance-related services, including smart planning and investment advice, and tools like the Empower Personal Dashboard™ for a complete financial view. The company is renowned as a top retirement plan provider and works closely with personal investors, workplace plan savers, plan sponsors, and financial professionals. Empower is also recognized for initiatives in Diversity, Equity, Inclusion, and has a social commitment that bolsters community impact.

📋 Description

• Analyze large and complex data sets to identify trends, patterns, and insights, and translate them into scalable data architectures and models. • Design and implement end-to-end data architectures supporting ingestion, storage, processing, and consumption for analytics and operational use cases. • Develop and maintain logical and physical data models, data flows, and architecture documentation. • Create and optimize data models to support dashboards, reporting, and data visualization tools. • Apply modern data architecture patterns, including data lakes, data warehouses, lakehouses, batch and event-driven processing, and change data capture. • Design cloud-native and cloud-compatible solutions, including data platform modernization and migration strategies. • Ensure data solutions adhere to governance, security, privacy, and compliance standards. • Design for scalability, reliability, and performance, including partitioning strategies and schema optimization. • Collaborate with engineering, infrastructure, security, and business teams to deliver aligned data solutions. • 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 to engineers and team members on data architecture and modeling best practices. • Translate business requirements into data quality standards and actionable data solutions. • Continuously refine models, methodologies, and architectures based on feedback and evolving business needs.

🎯 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 a minimum of 5+ years in a data-centric role. • Strong experience in data modeling, including logical and physical modeling, and use of data modeling 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 cloud platforms and data services, including AWS, Azure, or GCP, and big data frameworks such as EMR or Spark. • Strong understanding of modern data architectures, including data lakes, data warehouses, lakehouses, and streaming platforms. • Hands-on experience with distributed data processing, data integration, and NoSQL technologies, including graph, key-value, and columnar technologies. • Experience with data visualization and analytics tools such as Tableau, Cognos, BusinessObjects, MicroStrategy, SAS, or SPSS. • Proficiency in programming or scripting languages such as Python, R, or SQL. • Understanding of data governance, data quality, data privacy, and security practices. • Experience with DevOps and DataOps practices, including CI/CD pipelines and infrastructure-as-code. • Strong analytical, critical thinking, and problem-solving skills. • Excellent written and verbal communication skills, with the ability to engage both technical and non-technical stakeholders. • Ability to work independently and collaboratively within cross-functional teams.

🏖️ Benefits

• Medical, dental, vision and life insurance • Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup • Tuition reimbursement up to $5,250/year • Business-casual environment that includes the option to wear jeans • Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year • Paid volunteer time — 16 hours per calendar year • Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA) • Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.