Okay, I've searched for Data Architect roles available for remote work, on a contract basis, that require proficiency in ETL tools, strong analytical skills, and experience in banking transactions. I found 45 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Data Architect role at Horizontal is fundamentally about transforming vast amounts of data into useful insights that can drive decision-making and innovation within the organization. This position emphasizes not just technical proficiency but also strategic collaboration with cross-functional teams, highlighting the need for effective communication and prioritization skills. The core responsibilities include analyzing data, collaborating closely with development and product management teams, and ensuring data integrity—tasks that are interlinked and require continual feedback loops. Candidates will face challenges such as resolving data discrepancies and potentially navigating the complexities inherent in banking transactions and payment systems. Success in this role is likely defined by the ability to deliver actionable insights quickly while maintaining high standards of data accuracy and clear communication with stakeholders. Ultimately, this position is pivotal in supporting Horizontal's mission to provide exceptional data-driven solutions, aligning perfectly with their commitment to innovation and client satisfaction.

Company Analysis:

Horizontal is positioned in a competitive staffing industry, striving to match top-tier talent with leading organizations, and they pride themselves on a client-focused and innovative culture. The values reflected in the CEO's guiding perspective highlight the significance of nurturing relationships with clients, employees, and consultants—a principle that is vital in the work of a Data Architect, who will need to translate complex data insights in a way that is valuable to these stakeholders. The company fosters a fast-paced environment that values diversity and inclusion, suggesting that employees are encouraged to bring unique perspectives to problem-solving—an essential aspect for someone in this role who must analyze complex datasets. Given that the Data Architect will work remotely, adaptability and self-motivation are likely critical for thriving within Horizontal's culture. This role appears to be strategically significant as the company aims to innovate and enhance its data capabilities, underscoring the importance of aligning individual contributions with overarching company goals.

Absolutely. Here are some mock interview questions that could come up:

• Can you describe a time when you had to analyze a large data set to identify underlying issues? What was your approach and the outcome?
• Tell me about a situation where collaborative efforts with a development team resulted in improved data handling.
• Can you provide an example of a challenging data validation issue you've faced and how you resolved it?
• How do you ensure effective communication when coordinating project timelines and progress with product management?
• How would you approach optimizing an ETL process for better data batch processing efficiency?
• Can you discuss your experience with AML transaction monitoring and how it informs your approach to data architecture?
• What best practices do you follow to maintain the integrity of complex data pipelines?
• Imagine you are given a complex dataset with missing values; how would you handle data validation in this scenario?
• What strategies do you employ to ensure that your data specifications are clear and thorough?
• Why are you specifically interested in working with Horizontal, and how do you believe your skills align with our mission?
• How do you believe diversity and inclusion impact innovation in data-driven roles like the one you're applying for?
• What motivates you to continually improve your technical proficiency in areas like SQL and ETL tools?
• What questions do you have about the projects you would be involved in as a Data Architect at Horizontal?
• How do you prioritize tasks when multiple requests come from different teams needing data insights?