Senior Data Engineer

At Advisor360°, we build technology that transforms how wealth management firms operate, scale, and serve their clients. As a leading SaaS platform in the fintech space, we're trusted by some of the largest independent broker-dealers and RIAs to power the full advisor and client experience—from portfolio construction and reporting to compliance and client engagement.

What sets us apart? It's not just the tech (though it's best-in-class). It's the people, the purpose, and the passion behind everything we do.

We're a team of builders, thinkers, and doers who believe that great companies are defined by the stories they tell and the experiences they create—internally and externally. We bring deep industry expertise, a collaborative spirit, and a commitment to innovation as we reshape what's possible in wealth management.

As we grow, we're looking for teammates who are ready to roll up their sleeves, think big, and help elevate our brand in a way that reflects the bold ambitions we have for our company and the clients we serve.

Join us, and be part of a company that's not only moving fast—but making it count.

As a Data Engineer – Data Platform at Advisor360°, you will design, build, and scale the data pipelines and platforms that power our SaaS solutions. Your work will ensure that data is fast, reliable, and secure, enabling us to deliver better reporting, insights, and experiences to clients — and helping Advisor360° move faster in the market.

This is a hands-on role with opportunities to shape architecture, leverage modern tools, and mentor peers.

*This is a hybrid role, with an on-site presence required at our Bengaluru office on Monday & Wednesday.
Here's What You'll Do*

• Architect and implement scalable cloud-based data solutions using Azure, Databricks, PySpark, and Snowflake.
• Build and optimize data pipelines for performance, reliability, and cost efficiency.
• Leverage GenAI tools to accelerate coding, testing, and automation.
• Develop and maintain data documentation, coding standards, and best practices.
• Design event-driven and streaming solutions using Kafka or similar tools.
• Automate infrastructure with Terraform, Bicep, or ARM templates.
• Ensure compliance, security, and quality across all data systems.
• Collaborate with product and engineering teams to align data solutions with GTM priorities.
• Mentor teammates and champion modern data engineering practices.

What You Bring To The Table

• 8+ years of experience in data engineering or software engineering.
• Strong skills in SQL, PySpark, and Databricks.
• Hands-on experience with Azure cloud services (Data Factory, Functions, Databricks).
• Knowledge of event-driven architecture (Kafka, Streams).
• Familiarity with CI/CD, Git, and agile development.
• Experience with IaC tools (Terraform, Bicep, ARM templates).
• Exposure to GenAI-powered development is a plus.
• Mindset: Ownership, problem-solver, fast learner, thrives in fintech GTM environment.

*Why You'll Love Working Here
About*
It's not just about work—it's about building a career and enjoying the ride Here's what you can expect:

• Comprehensive health benefits, including medical, life, disability, and OPD coverage for you and your family.
• Annual health checkups and wellness programs to support preventive care.
• Unlimited paid time off to help you recharge and thrive.
• Hybrid work model with in-office collaboration twice a week.
• Access to certifications, online courses, workshops, and tuition reimbursement.
• Be part of a fintech that combines startup agility with enterprise stability.
• Direct impact on how Advisor360° delivers data-driven solutions faster to clients and the market.

Join us on this journey. Advisor360° is an equal opportunity employer committed to a diverse workforce. We believe diversity drives innovation and are therefore building a company where people of all backgrounds are truly welcome and included. Everyone is encouraged to bring their unique, authentic selves to work each and every day. The way we see it, we are here to learn from each other.