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Company

CivicPlus · 8 hours ago

Data Architect

United States

Full-time

Remote

Senior Level, Lead/Staff

$125K/yr - $140K/yr

7+ years exp

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Responsibilities

Designing, modeling, and defining processes for enterprise data lake and lakehouse implementations.

Ownership of necessary technologies and infrastructure.

Assisting with the discovery, cleaning, and maintenance of data across the enterprise.

Guiding data engineers on best practices for building pipelines and analysts on best practices for data visualizations.

Providing technical mentorship and guidance across the product engineering organization.

Fostering innovation and collaboration across teams, driving continuous improvement in data operations.

Working with company and technology leaders to develop long-term business plans, drive strategies, and promote standardization and efficiency.

Collaborating on data architecture, ensuring alignment with enterprise goals, and providing technical leadership to data engineering teams.

Developing a technical roadmap, maintaining data solutions, and staying ahead of evolving technologies.

Mentoring team members, ensuring the availability and security of data pipelines with Site Reliability Engineers, and recommending improvements to tools and processes.

Troubleshooting data operations issues, designing data models, and optimizing data processing for internal and external analytics.

Qualification

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Data ArchitectureEnterprise Data SolutionsData EngineeringDevOps MethodologiesCI/CD PracticesCloud Data ManagementData ModelingLeadership Experience

Required

A strong background in data architecture with a focus on designing and implementing enterprise-level data solutions.

A degree in Computer Science, Data Science, or a related field.

7+ years of experience in data architecture or data engineering.

2+ years of leadership experience.

Good understanding of enterprise data management in a multi-product environment.

Driven to achieve success and excellence in data architecture and operations.

Demonstrated ability to architect, build, and manage highly available, scalable, and fault-tolerant systems for the movement, maintenance, & accessibility of enterprise data.

Strong knowledge of DevOps methodologies, CI/CD practices, and automation tools for deploying & managing pipelines & data stores in the cloud.

Strong problem-solving and troubleshooting skills, with the ability to analyze complex data environments and identify and resolve issues.

Strong leadership and interpersonal skills, with the ability to motivate and guide team members towards achieving goals.

Excellent communication skills, both written and verbal, with the ability to effectively communicate with team members and stakeholders at all levels.