Data Architect — Cloud Data Lakes & Analytics Leader

Empower; United States; Hybrid; USD 138,000 - 200,000; Full time

Benefits offered by this job

Medical, dental, vision and life"보험

401(k) with company matching

Tuition reimbursement

Casual dress and office environment

Generous PTO and 16 volunteer hours

Parental leave and disability benefits

BRGs for inclusion

Job summary

Empower is hiring a Data Architect in the United States to analyze, design, and implement scalable data architectures across cloud platforms. You will translate business requirements into robust data models and data solutions for analytics and operational data products.

The role collaborates with data engineers, analytics teams, and business stakeholders to ensure governance, security, and performance while enabling data-driven decision making.

Qualifications

• 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.

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.

Skills

Data modeling

SQL

Python

Cloud platforms

Data governance

DevOps

Communication

Education

Bachelor's degree in CS/IS/Engineering/Math

Tools

ER/Studio

ERwin

PowerDesigner

Tableau

Spark

AWS

Azure

GCP

Job description

Empower is hiring a Data Architect in the United States to analyze, design, and implement scalable data architectures across cloud platforms. You will translate business requirements into robust data models and data solutions for analytics and operational data products.

The role collaborates with data engineers, analytics teams, and business stakeholders to ensure governance, security, and performance while enabling data-driven decision making.