Data Architect
Pay found in job post
Retrieved from the description.
Base pay range
$220,000.00/yr - $240,000.00/yr
GOBankingRates.com is a leading destination for personal finance news and information.
Launched by Jeff Bartlett and Brett Rossmann in 2004, GOBankingRates (formerly ConsumerTrack) connects people with products and services that help them to lead a richer life.
We are a multi-media content platform covering all aspects of your personal finance journey. Our curated editorial content, videos and podcasts utilize expert insight to teach readers the six key principles of financial literacy: how to earn, save, invest, spend, borrow and protect money. We strive to give readers the confidence they need to feel empowered about making smart financial decisions today, tomorrow and into the future.
Your rich life starts with GOBankingRates. Let us guide you there!
What's Interesting About This Role?
GOBankingRates is embarking on an ambitious growth journey and is looking for a seasoned Data Architect skilled in Cloud Platforms, Data Architecture, and Data Engineering. This role will be instrumental in leading and broadening our Data Platform initiatives, translating business requirements into technology requirements, and defining data standards and principles to support the organization's enterprise data management framework. The Data Architect will not only lead our data architecture strategy but also build and manage a high-performing data team.
As a key member of the Data Engineering team, your mission will oversee the development and maintenance of our Enterprise Data Platform, which includes a cutting-edge Serverless Data Lake, a robust Cloud Data Warehouse, and essential data/application pipelines. Your role will be central to conceptualizing and creating our next-gen data platform.
How Will You Make an Impact?
Architect and Design Data Solutions:
Benefits
Launched by Jeff Bartlett and Brett Rossmann in 2004, GOBankingRates (formerly ConsumerTrack) connects people with products and services that help them to lead a richer life.
We are a multi-media content platform covering all aspects of your personal finance journey. Our curated editorial content, videos and podcasts utilize expert insight to teach readers the six key principles of financial literacy: how to earn, save, invest, spend, borrow and protect money. We strive to give readers the confidence they need to feel empowered about making smart financial decisions today, tomorrow and into the future.
Your rich life starts with GOBankingRates. Let us guide you there!
What's Interesting About This Role?
GOBankingRates is embarking on an ambitious growth journey and is looking for a seasoned Data Architect skilled in Cloud Platforms, Data Architecture, and Data Engineering. This role will be instrumental in leading and broadening our Data Platform initiatives, translating business requirements into technology requirements, and defining data standards and principles to support the organization's enterprise data management framework. The Data Architect will not only lead our data architecture strategy but also build and manage a high-performing data team.
As a key member of the Data Engineering team, your mission will oversee the development and maintenance of our Enterprise Data Platform, which includes a cutting-edge Serverless Data Lake, a robust Cloud Data Warehouse, and essential data/application pipelines. Your role will be central to conceptualizing and creating our next-gen data platform.
How Will You Make an Impact?
Architect and Design Data Solutions:
- Design and Develop scalable data platforms, considering business needs, industry trends using cutting edge modern data stack. Create POC when necessary to test new approaches.
- Enforce common data design patterns to increase code maintainability. Define and establish data architecture standards and best practices. Ensure the team follows the standards and utilizes best practices in their data design and development activities.
- Responsible for data platform performance, ensuring the system performs optimally. This includes monitoring the system, identifying performance bottlenecks, and implementing necessary improvements.
- Implement security measures to safeguard sensitive data in the cloud environment. Conduct peer code review and provide constructive feedback. Mentor and guide junior team members and stakeholders on data architecture and AWS cloud services. Encourage a culture of learning, experimentation, and innovation among team members.
- Communicate complex data concepts and strategies to non-technical stakeholders, explaining the benefits, risks, and considerations. Establish and maintain effective communication with the management, development teams, and business stakeholders.
- Develop training material and conduct training sessions to enhance the team's understanding and proficiency in AWS cloud services and data architecture.
- Create and conduct project/architecture design review. Document the design, operation, and troubleshooting of technology platforms and procedures. Review and maintain documentation to ensure it is up-to-date, accurate, and effectively used by the team.
- Partner with team leads to identify, design and implement internal process improvements Automate manual processes, optimize data delivery, understand when to re-design architecture for greater scalability.
- Lead, mentor, and manage a team of data engineers, analysts, and other data-related staff.
- Provide guidance, feedback, and development opportunities for team members, fostering a culture of continuous improvement and technical excellence.
- Oversee team performance, manage workloads, and ensure the delivery of high-quality work on time.
- Lead the strategy for hiring, developing, and retaining top talent for the data architecture team.
- A minimum of 8 years of experience in data engineering, with a focus on data pipeline development, data architecture and cloud-based solutions
- Bachelor's or master's degree in computer science, Information Technology, Data Science, Engineering or a related field
- 8+ years of experience building, leading, and managing high-performing technical teams, including hiring and onboarding top talent.
- Proven experience designing, implementing, and managing scalable data platforms and architectures, preferably in a cloud environment (AWS).
- Experience with AWS services, including but not limited to S3, Airflow, DBT, GLUE and LAMBDA. Expert level experience in Snowflake is preferred.
- Proficient in SQL and at least one programming language such as Python, Java, or Scala.
- Familiarity with data modeling tools and techniques.
- Strong understanding of data warehousing concepts, ETL processes, data modeling, data governance, and data quality management Knowledge of performance tuning solving complex scalability issues on distributed platforms.
- Excellent communication skills, with the ability to effectively communicate complex data concepts to both technical and non-technical stakeholders Detail-oriented with excellent problem-solving skills and the ability to think strategically about business, product, and technical challenges
- Ability to work in a fast-paced, deadline-driven work environment and manage multiple tasks simultaneously
- Vendor management skills, with the ability to evaluate new technologies and services and determine their usefulness and applicability to the organization's data strategy.
Benefits
- 100% Remote
- Competitive salary with excellent growth opportunity; we pride ourselves in having a team that exudes leadership, high initiative, creativity and passion.
- Awesome medical, dental and vision plans with heavy employer contribution
- Paid maternity leave and paternity leave programs
- Paid vacation, sick days and holidays
- Company funding for outside classes and conferences to help you improve your skills
- Contribution to student loan debt payments after the first year of employment
- 401(k) -- employees can start contributing immediately. After the first year, GOBankingRates matches your contribution up to 4% of your salary
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Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Engineering and Information Technology -
Industries
Technology, Information and Internet
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