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Data Architect
3 months ago
Data Architect: Python, Snowflake, ETL
We're seeking a highly experienced Data Architect to join our team and play a key role in shaping the future of our data platform. You'll be responsible for the entire data platform lifecycle, from design and integration to deployment and ongoing improvement. This role requires a strong technical background combined with leadership skills to guide a cross-functional team and collaborate with stakeholders across the organization.
In this position, you'll leverage your expertise in data architecture, system design & integration, and cloud technologies to design, build, and maintain high-performance data and analytics solutions. You'll also champion data strategy throughout the organization, ensuring alignment with business goals.
Responsibilities
- Responsible for the architectural design, integration, and deployment of the enterprise's overall systems.
- Design and implement system solutions that meet user/client needs, cost constraints, and integration requirements with existing applications, systems, or platforms.
- Champion data strategy across the organization, working with business users and data teams to design, document, review, and negotiate solutions that align with strategic business and technology goals.
- Lead a cross-functional team responsible for the operational excellence of the data platform, including change management, SDLC, and CI/CD.
- Develop and implement a technical roadmap for the continuous improvement of the data platform, encompassing tech stack upgrades, cost optimization, and compliance.
- Researches, identifies, selects, and tests technology products required for solution delivery.
- Establishes, implements, and documents the technology integration or migration strategies.
- Provides governance and oversight as a senior member of the Architecture Review Board.
- Staying on top of the industry trends and new technologies for our given system architecture.
Job Requirements
- Bachelor's Degree in Computer Science or relevant discipline.
- 8+ years IT experience in system design & integration.
- Experience building and deploying analytic solutions that drive business impact for Sales and Marketing organizations in enterprise settings.
- Expertise in Salesforce and Marketing Cloud, with a proven track record of success in delivering innovative solutions.
- Deep understanding of public cloud computing providers (AWS, Azure, GCP) and data and analytics platforms (Snowflake, Databricks, etc), and how to leverage these technologies to build and maintain high-performance data and analytics solutions. Experience with the AWS ecosystem is a significant advantage.
- Exceptional communication, presentation, and interpersonal skills, with the ability to clearly and concisely communicate complex data insights to a variety of stakeholders.
- Demonstrated ability to thrive under pressure and function effectively in a fast-paced, agile work environment.
- Strong judgment and decision-making skills, with the ability to make quick and informed decisions under pressure.
- Meticulous attention to detail and accuracy, with a commitment to delivering high-quality work.
- Ability to collaborate effectively with others and build consensus to achieve common goals.
- Passion for technology and a commitment to continuous learning.
- Experience implementing operational best practices such as monitoring, alerting, and metadata management.
- Experience managing, measuring, and improving data quality in a data warehouse environment.
- Proven ability to identify and communicate data-driven insights that drive business impact.
- Experience working in an agile development environment, with a focus on delivering value to customers early and often.
- Experience working in large teams using CI/CD practices to automate the development and deployment of software.
- Expertise in Data Integration & Analytic Methodologies, and Data Modeling.
- Strong knowledge of REST API design, Python, PySpark.