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Empower

Personalized financial guidance, savings, investing platform

Data Architect

Data ManagementPosted on Nov 11
Full-timeRemote in USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or Business, or equivalent experience.
  • Seven to ten years of experience in data engineering, data architecture, analytics engineering, or related technical roles, including at least five years in a data-centric role.
  • Strong experience in logical and physical data modeling and 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 and the ability to engage technical and non-technical stakeholders.
  • Ability to work independently and collaboratively within cross-functional teams.
  • Applicants must be authorized to work for any employer in the United States.

Responsibilities

  • 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.

About the Company

Empower

Personalized financial guidance, savings, investing platform

Empower is a financial services provider focused on helping people save, invest and receive advice. It serves both organizations and individuals, offering tools, guidance and support to reach financial goals. Its products work by giving users access to personalized financial advice and resources, combining advisory support with digital tools to manage accounts and investments. The company differentiates itself through its large, diverse client base (over 71,000 organizations and 17 million individuals) and its emphasis on trust, integrity and personalized guidance, aiming to deliver financial well-being at scale. Its goal is to empower financial freedom for all by delivering clear advice, tailored guidance and essential support throughout the financial journey.

Company size
Not listed
Company stage
Not listed
Total funding
Not listed
Headquarters
Flower Mound, TX
Founded
2014

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