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TSSCI w/Poly Data Architect

Data Architect

Description

As a Data Architect, you will lead the design and management of data architecture strategies that facilitate the maintenance, integration, and accessibility of data assets. You will play a crucial role in supporting internal analytics initiatives and drive the evolution of data systems and processes across the organization.

Your expertise in data modeling, database design, and governance will allow you to collaborate effectively with various stakeholders to develop scalable solutions that meet business needs while ensuring data integrity and security standards are met.

This role requires a comprehensive understanding of data processes, cloud technologies, and data governance practices applicable in sensitive environments.

Required Skills and Qualifications

  • Experience in designing and implementing data architecture frameworks and strategies.
  • Strong understanding of database technologies (e.g., SQL, NoSQL) and data modeling techniques.
  • Ability to work with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
  • Experience with data governance frameworks ensuring data quality, security, and compliance.
  • Proven ability to translate complex business requirements into scalable data architectures.
  • Experience in data integration, ETL processes, and data warehousing solutions.
  • Ability to effectively communicate with both technical and non-technical stakeholders.

Preferred Skills (Optional)

  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Knowledge of machine learning practices and predictive analytics.
  • Familiarity with DevOps practices surrounding data management and analytics.

·       Full Medical, dental and vision coverage for employee and all immediate dependents!

·       Generous PTO  

·       11 paid holidays 

·       6% 401(k) auto contribution

·       Company-funded life insurance 

·       Tuition and training assistance 

·       Financial rewards for employee referrals 

·       Cash bonus SPOT Awards for efforts above and beyond your role like contributing to proposals, working billable overtime, receiving customer recognition or awards, supporting BD/marketing material creation and more!

·       Regular team events (sporting events, lunches, gatherings, etc)

What You Should Know About TSSCI w/Poly Data Architect, Leading Path Consulting

As a TSSCI w/Poly Data Architect, you will embark on an exciting journey at our company, steering the design and management of progressive data architecture strategies. Your role will hinge on making our data assets not just accessible, but also meticulously maintained and seamlessly integrated. Picture yourself supporting dynamic internal analytics initiatives while guiding the evolution of our data systems and processes across the board. Your profound expertise in data modeling, database design, and governance will shine as you collaborate with diverse stakeholders to craft scalable solutions that align with business needs—all while adhering to strict data integrity and security standards. This position calls for a deep understanding of data processes, cloud technologies, and rigorous data governance practices, especially as they relate to sensitive environments. You'll need to have experience in designing data architecture frameworks, a solid grasp of various database technologies like SQL and NoSQL, and a knack for working with big data and cloud platforms such as AWS, Azure, or GCP. If you're excited about transforming complex business requirements into robust data solutions, this role could be the perfect fit for you, not only fostering personal growth but also contributing to a collaborative team culture.

Frequently Asked Questions (FAQs) for TSSCI w/Poly Data Architect Role at Leading Path Consulting
What are the primary responsibilities of a TSSCI w/Poly Data Architect at your company?

The TSSCI w/Poly Data Architect plays a pivotal role in leading the design and management of data architecture strategies. This includes ensuring the maintenance, integration, and accessibility of data assets, supporting internal analytics initiatives, collaborating with stakeholders to develop scalable solutions, and ensuring compliance with data integrity and security standards.

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What qualifications are necessary for a TSSCI w/Poly Data Architect position?

To excel as a TSSCI w/Poly Data Architect, candidates should have experience in designing data architecture frameworks, a robust understanding of database technologies such as SQL and NoSQL, and a familiarity with cloud platforms like AWS, Azure, or GCP. Additionally, knowledge of data governance frameworks and effective communication skills with both technical and non-technical stakeholders is crucial.

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Is experience with cloud technologies essential for the TSSCI w/Poly Data Architect role?

Yes, experience with cloud technologies is essential for the TSSCI w/Poly Data Architect role. Candidates should be comfortable working with cloud platforms, as they play a significant role in the management and evolution of data systems within the organization.

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Can you explain the importance of data governance in the TSSCI w/Poly Data Architect role?

Data governance is critical for the TSSCI w/Poly Data Architect as it ensures data quality, security, and compliance within the organization. A robust governance framework allows the architect to maintain data integrity and manage risks effectively, thereby enhancing overall data strategy.

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What additional skills could enhance a TSSCI w/Poly Data Architect candidate's profile?

Candidates may benefit from familiarity with data visualization tools like Tableau or Power BI, as well as knowledge of machine learning practices and predictive analytics. Experience with DevOps practices related to data management also adds a competitive edge.

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Common Interview Questions for TSSCI w/Poly Data Architect
Can you describe your experience with data modeling and architecture design as a TSSCI w/Poly Data Architect?

In your answer, focus on specific projects you've worked on that demonstrate your ability to create scalable data models. Mention the tools you used and how your designs impacted the business outcomes positively.

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How do you ensure data integrity and security in your data architecture?

Discuss your approach to implementing data governance frameworks and security measures. Share examples of how you've protected sensitive data while maintaining compliance with standards.

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What big data technologies are you proficient in, and how have you applied them?

Be prepared to talk about specific big data tools and technologies you have experience with, such as Hadoop or Spark. Illustrate how you’ve leveraged these tools to solve complex data challenges.

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Explain your experience with cloud services as a TSSCI w/Poly Data Architect.

Highlight your experience with cloud platforms like AWS, Azure, or GCP. Discuss specific projects where you utilized cloud technologies to implement data solutions effectively.

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Have you ever had to communicate complex data architecture concepts to non-technical stakeholders? How did you approach it?

Share a scenario where you successfully conveyed technical concepts without jargon. Explain your methodology for clarifying ideas ensuring all parties understood the implications.

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What are the key considerations when designing ETL processes?

Discuss your understanding of data flow, transformations, and loading strategies. Illustrate how you’ve optimized ETL for efficiency and accuracy in past projects.

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How would you handle a situation where the data quality did not meet governance standards?

Describe a specific process you would undertake to identify the root cause of the data quality issue, implement corrective measures, and prevent future occurrences, emphasizing your analytical problem-solving skills.

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What role does communication play in the success of a TSSCI w/Poly Data Architect?

Emphasize how effective communication facilitates collaboration with stakeholders, aligning business goals with technical solutions. Provide examples of successful team dynamics stemming from clear communication.

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Can you give an example of a successful data architecture project you managed?

Share a detailed account of a project you led, focusing on the challenges faced, how you overcame them, the technologies used, and the successful outcomes achieved.

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What are your thoughts on emerging trends in data architecture?

Discuss any relevant trends, such as advancements in cloud computing, machine learning integration, or real-time data processing technologies. Provide your insights on how these trends may impact the future of data architecture.

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Full-time, remote
DATE POSTED
December 1, 2024

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