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Data Solutions Architect (AWS)

Provectus, is a leading AI consultancy and solutions provider specializing in Data Engineering and Machine Learning. With a focus on helping businesses unlock the power of their data, we leverage the latest technologies to build innovative data platforms that drive results. Our Data Engineering team consists of top-tier professionals who design, implement, and optimize scalable, data-driven architectures for clients across various industries.


Join us if you have the same passion for making products using AI/ML technologies, cloud services, and data engineering.


As a Data Solutions Architect, you will lead the design, architecture, and implementation of large-scale data solutions for our clients. You will act as a strategic technical leader, collaborating with cross-functional teams to deliver innovative data platforms that drive business value.


Responsibilities:

Strategic Technical Leadership:
  • Lead high-impact customer engagements focused on AWS Data Platform solutions.
  • Define and drive technical strategies that align AWS capabilities with customer objectives, incorporating Databricks, GCP, or Azure where appropriate.
Solution Architecture and Design:
  • Architect and design scalable data platforms using AWS, ensuring optimal performance, security, and cost-efficiency.
  • Integrate AWS services with other solutions (Databricks, Snowflake, GCP, or Azure) as needed, selecting the right technologies and tools to meet customer needs.
  • Develop and maintain comprehensive architectural documentation aligned with organizational technical standards.
Pre-Sales Activities:
  • Partner with the sales team, providing technical expertise to position AWS-based data solutions effectively.
  • Participate in customer meetings to assess technical needs, scope solutions, and identify growth opportunities.
  • Create technical proposals, solution architectures, and presentations to support sales efforts and align with customer expectations.
  • Assist in responding to RFPs/RFIs with accurate technical input and align solutions to client requirements.
  • Demonstrate AWS capabilities through POCs and technical demonstrations to showcase proposed solutions.
Customer Engagement and Relationship Management:
  • Build and maintain strong relationships with key customer stakeholders, acting as a trusted advisor for data platform initiatives.
  • Lead discovery workshops to understand customer requirements, KPIs, and technical constraints.
Project Leadership and Delivery:
  • Oversee the end-to-end implementation of AWS-based data platforms, coordinating with engineering teams to ensure successful delivery.
  • Manage technical risks and develop mitigation strategies.
Innovation and Best Practices:
  • Stay up-to-date with the latest developments in AWS, Databricks, GCP, Azure, and cloud technologies.
  • Develop and promote best practices in data platform architecture, data pipelines, and data governance.
Cross-Functional Collaboration:
  • Collaborate with AI/ML teams to integrate advanced analytics and machine learning capabilities into AWS and other cloud platforms.
  • Work with DevOps teams to implement CI/CD pipelines and automation for data workflows.
Mentorship and Knowledge Sharing:
  • Mentor junior architects and engineers, fostering a culture of continuous learning and professional development.
  • Contribute to knowledge-sharing initiatives through technical blogs, case studies, and industry event presentations.
Governance, Compliance, and Security:
  • Ensure that AWS-based data platform solutions comply with relevant security standards and regulations.
  • Implement data governance frameworks to maintain data quality and integrity.


Requirements:
  • Experience in data solution architecture.
  • Proven experience in designing and implementing large-scale data engineering solutions on AWS.
  • Experience with Databricks, GCP, or Azure solutions is required.
  • Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS.
  • Proficient in programming languages like Python, SQL, and Scala.
  • Experience with data warehousing, ETL processes, and real-time data streaming.
  • Familiarity with open-source technologies and tools in data engineering.
  • AWS Certified Solutions Architect – Professional (or similar) is required.
  • Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Strong leadership and project management skills.
  • Ability to work collaboratively in a cross-functional team environment.


Will Be a Plus:
  • Experience in the Healthcare and Biotech domains.
  • Certifications in Databricks, GCP, or Azure.
  • Experience with AWS Migration Acceleration Programs (MAP).
  • Experience with AI/ML integration in data platforms.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Contributions to open-source projects or active participation in the data engineering community.


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What You Should Know About Data Solutions Architect (AWS), Provectus

If you’re passionate about data and looking to make a significant impact, then the Data Solutions Architect position at Provectus could be your perfect match! Here at Provectus, we pride ourselves on being a leading AI consultancy dedicated to transforming businesses through innovative data platforms. We’re looking for a skilled professional to lead our Data Engineering team, driving the design and implementation of large-scale data solutions using AWS. In this role, you’ll act as a strategic technical leader, collaborating with cross-functional teams to create solutions that not only meet customer requirements but also drive substantial business value. You’ll have the chance to architect robust data platforms, integrating various AWS services and collaborating on pre-sales activities to deliver compelling proposals to our clients. Additionally, you’ll engage with customers directly, building solid relationships while ensuring their data architecture aligns with industry best practices. If you’re excited about engaging with innovative technology, mentoring a talented team, and advocating for best practices in data governance, we want to hear from you! The ideal candidate will have a strong background in AWS, excellent communication skills, and the ability to navigate complex technical concepts while nurturing strong client relationships. Ready to join our team and leverage your expertise in AI/ML technologies? Let’s embark on this exciting journey together at Provectus!

Frequently Asked Questions (FAQs) for Data Solutions Architect (AWS) Role at Provectus
What are the primary responsibilities of a Data Solutions Architect at Provectus?

As a Data Solutions Architect at Provectus, your main responsibilities will include leading the design and architecture of scalable AWS-based data platforms, collaborating with cross-functional teams, and driving pre-sales activities. You’ll take the lead on high-impact customer engagements, define technical strategies, and ensure solutions are tailored to meet client objectives effectively.

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What qualifications are needed for the Data Solutions Architect role at Provectus?

To be considered for the Data Solutions Architect position at Provectus, candidates should have proven experience in data solution architecture, particularly with AWS. A solid understanding of computing services such as S3, EC2, and Glue is essential. Additionally, an AWS Certified Solutions Architect – Professional certification, along with excellent communication and leadership skills, will set you apart.

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How does a Data Solutions Architect contribute to customer engagement at Provectus?

In the Data Solutions Architect role at Provectus, you’ll build and maintain relationships with key customer stakeholders. You will act as a trusted advisor, leading discovery workshops to gather customer requirements and showcasing AWS capabilities through technical demonstrations and proofs of concept, ensuring that solutions align with their business objectives.

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What experience is preferred for a Data Solutions Architect at Provectus?

Preferred experience for the Data Solutions Architect position at Provectus includes designing and implementing large-scale data engineering solutions on AWS and a strong grasp of data warehousing, ETL processes, and real-time data streaming. Experience with Databricks, GCP, or Azure is also valuable, especially in industries like Healthcare and Biotech.

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What unique opportunities does Provectus offer for Data Solutions Architects?

At Provectus, Data Solutions Architects have the unique opportunity to work on innovative data platforms across various industries. You’ll be part of a passionate team that encourages growth through mentorship, knowledge sharing, and contributing to cutting-edge projects, thereby enhancing your skills in data governance and emerging technologies.

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Common Interview Questions for Data Solutions Architect (AWS)
What experience do you have with AWS services relevant to the Data Solutions Architect role?

In your response, start by highlighting specific AWS services you’ve worked with, such as S3 or Redshift. Provide examples of projects where you utilized these services to solve client challenges, illustrating your impact and how you ensured performance, security, and cost-efficiency.

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Can you explain how you approach designing scalable data architectures?

When answering this question, discuss your methodology for gathering requirements, assessing constraints, and selecting appropriate technologies. Provide an example of a past project where your design led to successful implementation, emphasizing your collaboration with different teams.

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How do you stay current with industry trends and innovations in data engineering?

You could mention specific resources you follow, such as industry blogs, webinars, and conferences. Discuss how continuous learning has helped you apply new technologies and best practices in your work, enhancing your ability as a Data Solutions Architect.

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Describe a challenging project you led as a Data Solutions Architect.

Share a specific project where you faced obstacles, detailing how you addressed technical challenges, managed stakeholder expectations, and worked collaboratively with your team to achieve successful outcomes. This shows your problem-solving abilities and leadership skills.

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What do you consider best practices in data governance?

Highlight your knowledge of data governance frameworks and best practices for ensuring data quality and compliance. Share an experience implementing these practices in a previous role, focusing on the positive outcomes achieved for the organization.

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How do you handle technical risks in data solution projects?

Discuss your approach to identifying and assessing technical risks, outlining proactive strategies you’ve implemented in past projects to mitigate those risks. Providing a real-world example will showcase your practical understanding and leadership capabilities.

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How would you engage with a client who is not technically proficient?

Explain your approach to simplifying complex technical concepts, using analogies or visuals to communicate effectively. Emphasize your ability to build trust with the client and ensure they understand how your solutions will benefit their business.

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What programming languages are you proficient in, and how have you used them in data architecture?

Share the programming languages you are proficient in, like Python or SQL, and provide examples of how you used them in data engineering tasks. Discuss how your coding skills have contributed to the efficiency and optimization of data processes in your previous roles.

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How do you prioritize multiple projects in a fast-paced environment?

Articulate your time management and prioritization techniques, perhaps using tools or methodologies like Agile. Share an example of managing competing deadlines while ensuring high-quality deliverables, demonstrating your project management skills.

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What excites you about the opportunity at Provectus?

In your answer, express your enthusiasm for the innovative work at Provectus and how it aligns with your career goals. Discuss your passion for leveraging AWS and AI technologies to solve real-world problems, highlighting your desire to contribute to the company's mission and culture.

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Our mission is to leverage cloud, data, and AI to reimagine the way businesses operate, compete, and deliver customer value. We strive to be recognized by industry analysts as a leading AI solutions provider and to become transformational leaders ...

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March 21, 2025

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