Senior Data Solutions Architect (Databricks)

As a Senior Data Solutions Architect at Provectus, your main responsibilities include leading high-impact customer engagements focused on the Databricks Data Platform. You will define and drive technical strategies that align Databricks capabilities with customer objectives and architect scalable, secure solutions on AWS. Additionally, you will oversee the end-to-end implementation of data platforms, provide technical expertise during pre-sales processes, and promote best practices in data governance.

To qualify for the Senior Data Solutions Architect position at Provectus, candidates should have proven experience in data solution architecture and a strong background in designing large-scale data engineering solutions on AWS. Expertise in the Databricks platform, familiarity with various AWS services, and proficiency in programming languages like Python, SQL, and Scala are essential. Strong leadership and communication skills are also critical for success in this role.

The Senior Data Solutions Architect at Provectus plays a crucial role in client success by acting as a strategic technical leader. You will build relationships with customer stakeholders, provide insightful advice on data platform initiatives, conduct technical demonstrations, and ensure that the solutions implemented deliver real business value. Your expertise will directly impact the customer's ability to effectively utilize their data to achieve their goals.

Working at Provectus as a Senior Data Solutions Architect offers a stimulating environment where innovation is celebrated, and technology advancements are embraced. You'll collaborate with top-tier professionals in the Data Engineering team and have opportunities for knowledge-sharing and mentorship. The culture encourages continuous learning and staying current with industry trends, making it an exciting place for those passionate about data engineering and AI/ML technologies.

At Provectus, the Senior Data Solutions Architect role includes numerous professional development opportunities. You will have access to mentoring junior team members and the chance to contribute to knowledge-sharing efforts. Moreover, obtaining relevant certifications such as AWS Certified Solutions Architect or Databricks Certification is encouraged, allowing you to enhance your skill set and stay at the forefront of technology.

When responding to this question, share specific projects where you've utilized the Databricks platform. Highlight your contributions to designing and implementing data solutions, focusing on the impact these projects had on business goals and efficiency. Use examples that illustrate your deep knowledge and hands-on experience with Databricks features.

In your answer, discuss design principles you apply to ensure scalability, such as adopting microservices architecture, implementing data partitioning strategies, and optimizing data processing workflows. Providing examples from your past work will help demonstrate your capability in delivering robust and scalable data solutions.

Explain your relationship with AWS in your designs. Discuss the specific AWS services you frequently use, such as EC2, S3, Glue, and how these services integrate with Databricks to create efficient data platforms. Emphasize your understanding of cloud architectures and their advantages in supporting large-scale data solutions.

Share your approach to data governance, including practices for ensuring data quality, security, and compliance. Discuss tools you've used for data governance and how you integrate these practices into your architecture designs to instill best practices among your team and clients.

Describe a challenging project in detail, including the complexities you faced and the ingenious solutions you put forth. Highlight your problem-solving skills and teamwork dynamics, focusing on how you navigated hurdles to achieve project success and meet client expectations.

Discuss your methods for keeping up with industry trends, such as attending conferences, participating in webinars, or being active in data engineering communities. Mention any specific certifications or training relevant to the Senior Data Solutions Architect role that you've pursued to ensure your skills remain sharp.

Highlight your ability to simplify complex technical jargon into understandable terms for non-technical audiences. You could mention the use of visual aids, analogies, and your approach to building relationships through transparency and active listening during client presentations and discussions.

Share your project management approach, including tools and methodologies (like Agile) you utilize. Describe how you prioritize tasks, ensure deadlines are met, and facilitate collaboration among team members while maintaining a focus on quality outcomes.

Discuss your mentoring style and how you assist junior team members in their professional development. Provide examples of situations where your mentorship led to improvements in their skills or project contributions, showcasing your leadership abilities in fostering growth within your team.

Explain your methods for assessing the success of implemented data solutions. Focus on key performance indicators (KPIs) you track, user feedback mechanisms, and how you conduct ongoing support and optimization to ensure that solutions continue to meet evolving business needs.