Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
AI Data Architect image - Rise Careers
Job details

AI Data Architect

About Skypoint

Skypoint’s AI platform (AIP) enables customers in regulated industries like healthcare, public sector, and financial services to:

·       Unify data from various siloed and disparate sources to AI-ready data lakehouses.

·       Deploy industry-specific compound AI systems that leverage optimized open-source LLMs and dedicated GPU compute capacity.

·       Leverage AI-powered analytics, applications, copilots, and agents to boost productivity and operational efficiency.

 

Skypoint was founded in 2020 in Portland, Oregon. We now have over 75 employees and 125 customers.

 

Skypoint is proud to be ranked #26 in Deloitte's Fast 500, recognizing the 500 fastest-growing tech companies in the US and Canada for 2024. We also received the Portland Business Journal's Healthcare Innovation Award for 2024!

 

 

Location: Global Technology Park, Bellandur, Bangalore, India (No Remote/No Hybrid)

 

Summary of the role: At Skypoint, we are committed to transforming the way data empowers decision-making. We are looking for an experienced Data Architect to help design our data landscape, leverage advanced cloud technologies, and drive data strategy with cutting-edge solutions that power business intelligence and analytics.

 

Role Overview: As a Data Architect, you will be a key player in architecting and implementing complex data solutions to meet business needs. You will utilize your hands-on experience with Azure and Databricks to build efficient, scalable, and secure data architectures. This role requires close collaboration with various teams to turn data into actionable insights, creating data systems that are a foundation for our analytics strategy.

 

Key Responsibilities:

·       Design, architect, and implement scalable data solutions using Azure services, Databricks, and other advanced data technologies.

·       Lead the development of data pipelines, ETL processes, and data integration to ensure data accessibility, quality, and reliability.

·       Work closely with stakeholders to translate business requirements into effective data architectures.

·       Define data modeling standards, tools, and best practices to drive consistency across data projects.

·       Ensure adherence to data security, compliance, and governance policies throughout the data lifecycle.

·       Optimize data solutions for performance, scalability, and efficiency to meet evolving business needs.

·       Guide and mentor data engineering teams on building and maintaining data infrastructure.

·       Support projects in data analysis, reporting, and visualization.

 

Required Skills & Experience:

·       8-10 years of experience in data architecture, data engineering, or a similar field.

·       The candidate should be prepared to travel to our headquarters in Portland, Oregon, USA for business visits.

·       Extensive hands-on experience with Azure, including Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, and Azure SQL.

·       Strong experience with Databricks, particularly for data pipeline development and management.

·       Expertise in big data and distributed computing frameworks.

·       Proficiency in data modeling and data warehousing.

·       Strong SQL skills and proficiency with a programming language such as Python or Scala.

·       Experience with ETL tools and data integration best practices.

·       Familiarity with data governance and compliance regulations.

·       Excellent problem-solving, analytical, and communication skills.

·       Bachelor's or master’s degree in computer science, Information Technology, or related discipline.

 

Preferred Qualifications:

·       Azure Data Engineer or Azure Solutions Architect certification.

·       Experience with additional cloud platforms, such as AWS or Google Cloud.

·       Experience in machine learning or AI-driven data analytics.

·       Exposure to AI technologies and working on AI Data Products is a plus.

 

Why Join Skypoint?

·       Join a company at the forefront of data innovation and AI.

·       Onsite Opportunities (We Sponsor Business B1/B2 and L1 Visas)

·       Work in an environment that values creativity, collaboration, and learning.

·       Opportunities for professional growth and working on impactful data projects.

·       Competitive compensation, benefits, and career development opportunities.

 

If you’re passionate about taking on complex data challenges and helping to shape the future of data strategy, we’d love to hear from you!

 

Life at Skypoint

Life at Skypoint is vibrant and forward-thinking, focused on harnessing the power of AI and advanced technologies to innovate and solve real-world challenges. Our culture thrives on creativity, strategic thinking, and a commitment to excellence, offering a collaborative environment where every contribution is valued.

 

We are dedicated to fostering personal and professional growth, ensuring team members have opportunities for advancement through continuous training and a flexible work-life balance. Skypoint offers competitive benefits, including comprehensive health insurance and retirement plans.

 

Join us to be part of a dynamic team that's shaping the future with groundbreaking solutions in AI and technology, all while enjoying a supportive and inclusive workplace!

 


Skypoint Glassdoor Company Review
4.6 Glassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star icon
Skypoint DE&I Review
4.5 Glassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star icon
CEO of Skypoint
Skypoint CEO photo
Tisson Mathew
Approve of CEO

Average salary estimate

$140000 / YEARLY (est.)
min
max
$120000K
$160000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About AI Data Architect, Skypoint

At Skypoint, our mission is to revolutionize the way data influences decision-making, and we're excited to welcome an AI Data Architect to our dynamic team in Bangalore, Karnataka. As a crucial player in our data landscape, you'll leverage cutting-edge cloud technologies and innovative strategies to design scalable data solutions that empower business intelligence and analytics. Your extensive expertise with tools like Azure and Databricks will drive the development of efficient, secure data architectures that meet our evolving business needs. In this role, you'll have the opportunity to lead the creation of data pipelines and ETL processes, work collaboratively with diverse teams, and ensure the highest standards of data quality and security. Being a part of Skypoint means joining an award-winning company that values creativity and professional growth, with a vibrant and inclusive culture that embraces innovation. We are committed to supporting your journey as you help us unlock the potential of our data systems. If you're passionate about tackling complex data challenges and shaping the future of data strategy, we would love for you to be a part of our team at Skypoint!

Frequently Asked Questions (FAQs) for AI Data Architect Role at Skypoint
What are the key responsibilities of an AI Data Architect at Skypoint?

The AI Data Architect at Skypoint is responsible for designing, architecting, and implementing scalable data solutions using Azure services and Databricks. This role requires leading the development of data pipelines, ensuring data accessibility and quality, and collaborating with stakeholders to translate business requirements into effective data architectures.

Join Rise to see the full answer
What qualifications are required for the AI Data Architect position at Skypoint?

To qualify for the AI Data Architect position at Skypoint, candidates should have 8-10 years of experience in data architecture or engineering, with extensive hands-on experience in Azure services, Databricks, and big data frameworks. A Bachelor's or Master's degree in computer science or a related discipline is also required, along with strong SQL skills and familiarity with data governance.

Join Rise to see the full answer
How can the AI Data Architect role at Skypoint impact business intelligence?

The AI Data Architect plays a pivotal role in shaping data-driven decision-making at Skypoint by architecting comprehensive data systems that enable advanced analytics and reporting. By optimizing data solutions and guiding data engineering teams, the architect helps ensure that valuable insights are derived from the data, ultimately boosting operational efficiency.

Join Rise to see the full answer
What technologies should an AI Data Architect be familiar with at Skypoint?

An AI Data Architect at Skypoint should be proficient in Azure technologies such as Azure Data Lake, Azure Synapse Analytics, and Azure Data Factory. Experience with Databricks for data pipeline development and languages like Python or Scala is also crucial for success in this role.

Join Rise to see the full answer
What are the professional growth opportunities for an AI Data Architect at Skypoint?

Skypoint is committed to the professional growth of its team members. As an AI Data Architect, you will have opportunities for continuous training, mentorship from experienced professionals, and the chance to work on impactful data projects. The supportive work environment encourages creativity and strategic thinking, helping you advance in your career.

Join Rise to see the full answer
Common Interview Questions for AI Data Architect
Can you explain your experience with Azure services relevant to the AI Data Architect role?

In your response, highlight specific Azure services you've worked with, such as Azure Data Lake and Azure SQL. Share examples of how you implemented these technologies to solve complex data challenges and the impact your work had on previous projects.

Join Rise to see the full answer
What methodologies do you follow for data modeling in your projects?

Discuss your approach to data modeling, including any frameworks or tools you utilize. Provide examples of how your data models have successfully supported business needs and analytical requirements in the past.

Join Rise to see the full answer
How do you ensure compliance and security in your data architectures?

Highlight your familiarity with data compliance regulations and security best practices. Share specific strategies you’ve implemented to ensure data security throughout the data lifecycle, including any practices around data governance.

Join Rise to see the full answer
Describe a challenging data pipeline you developed and how you overcame obstacles.

Discuss a specific project where you faced challenges in developing a data pipeline. Detail the obstacles, how you navigated them, what technologies you used, and the ultimate outcomes of the project.

Join Rise to see the full answer
How do you approach collaboration with different teams in your data projects?

Emphasize the importance of communication in collaboration. Describe your process for gathering requirements from various stakeholders and how you ensure that everyone is aligned with the project goals.

Join Rise to see the full answer
What is your experience with data integration and ETL processes?

Talk about your hands-on experience with ETL tools and processes. Provide examples of data integration projects you've managed and the challenges you faced, as well as the solutions you employed.

Join Rise to see the full answer
How do you stay updated with the latest trends and technologies in data architecture?

Discuss any professional development activities you engage in, such as attending workshops, following relevant publications, or participating in online forums. Highlight how staying current enables you to bring innovative solutions to your work.

Join Rise to see the full answer
What role does machine learning play in your data architecture strategy?

Explain your understanding of integrating machine learning into data architectures. Share any experiences you have with machine learning projects and how they enhanced your data strategy.

Join Rise to see the full answer
Can you provide an example of how you optimized data solutions for performance?

Provide a concrete example of a data solution you optimized, including the metrics you used to gauge performance and any specific techniques applied. Highlight the results and improvements achieved.

Join Rise to see the full answer
What strategies do you use to mentor and support junior team members in data engineering?

Discuss your mentoring philosophy and the methods you use to help junior engineers grow. Share insights on how you foster teamwork, encourage learning, and assist team members in developing their skills.

Join Rise to see the full answer
Similar Jobs
Photo of the Rise User
Alarm.com Hybrid Liberty Lake, WA
Posted 2 days ago
Posted 2 days ago
Photo of the Rise User
Posted yesterday
Photo of the Rise User
Posted 11 days ago
Mission Driven
Inclusive & Diverse
Take Risks
Collaboration over Competition
Growth & Learning
Photo of the Rise User
Callsign Remote No location specified
Posted 7 days ago
Heidi Health Remote Sydney/Melbourne/Remote
Posted 12 days ago
Photo of the Rise User
Carrier Hybrid East Syracuse, NY
Posted 6 days ago

SkyPoint’s mission is to bring people and data together.

4 jobs
MATCH
Calculating your matching score...
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
December 24, 2024

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!