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SkyPoint Cloud

AI Data Architect

Posted 8 Days Ago
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Bangalore, Bengaluru, Karnataka
Senior level
Bangalore, Bengaluru, Karnataka
Senior level
The AI Data Architect at Skypoint will design scalable data solutions, leverage advanced cloud technologies, and drive data strategy to enhance business intelligence and analytics. Responsibilities include developing data pipelines, ensuring data quality and governance, and mentoring teams to build effective data infrastructures.
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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!

 

Top Skills

Python
Scala
SQL

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