Data Architect

Life at EvoluteIQ

We at EvoluteIQ believe in the power of transformation. We are committed to building a industry-leading Technology that will revolutionize the way enterprises conduct business.

To make that happen, we need people who are generous, genuine, self-driven, and collaborative.

People who not only want to be a part of a fast-growing and radical thinking company, but who are kind and caringabout each other. We at EvoluteIQ thrive in the company of each other and make each other a better version of ourselves every day.

Could that be you

Your Mission

Our culture is who we are, and it defines us. We are nimble, fast, dedicated, humble, and bold. We see opportunities everywhere around us to make a dent in the universe. Our core fabric is Innovation!

And this is not just a word, but the way of life within EvoluteIQ.

Changing the way business is done, reimagining the future of work, and enabling people to improve their quality of work every day, is a daunting task. That is what we all strive for every day at EvoluteIQ.

To enable everyone to automate complicated processes with their instinct and knowledge.

We make the building of automations implemented for everyone, so that it is not a mystery for a few.

Would you like to join us on this journey

About the Role

We're looking for a hands-on Data Architect who can design and scale our data platform from the ground up. This is a high-ownership role where you'll make foundational architectural decisions, build robust data pipelines, and enable analytics, ML, and real-time product use cases.

If you think in systems, optimize for scale and cost, and enjoy solving hard distributed data problems this role is for you.

What You'll Do

• Design and build scalable data lakes, warehouses, and real-time data pipelines.
• Architect batch and streaming systems using Spark, Kafka, Flink, Hadoop, etc.
• Implement reliable ETL/ELT workflows with Airflow or NiFi.
• Work on cloud-native data platforms (AWS/GCP/Azure).
• Optimize SQL performance and large-scale datasets.
• Design data models for analytics and ML use cases.
• Set up governance, security, and compliance (GDPR, encryption, access control).
• Build CI/CD for data pipelines and enable monitoring (Prometheus or equivalent).
• Partner with product, analytics, and ML teams to ship data-driven features.

What We're Looking For

• Strong fundamentals in distributed systems and data engineering.
• Experience building production-grade pipelines and data architectures.
• Hands-on with Spark, Kafka, Hadoop, Redshift/Snowflake.
• Strong SQL + performance tuning skills.
• Experience with cloud platforms (AWS/GCP preferred).
• Proficiency in Python / Java.
• Ownership mindset and first principles thinking.
• Comfortable in fast-moving, ambiguous startup environments.

Nice to Have

• Experience with ML pipelines or feature stores.
• Exposure to event-driven architectures and microservices.
• Experience scaling systems from early stage to growth.

Why Join

• Build the foundation of the company's data platform.
• High impact, high ownership.
• Opportunity to shape architecture decisions from day one.