Principal Data Architect

Life at EvoluteIQ

We at EvoluteIQ believe in the power of transformation. We are committed to building 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 part of a fast-growing, radical-thinking company, but who are kind and caring about one another. We thrive in each other's company and make one another 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. Innovation is our core fabric—not a buzzword, but a way of life at EvoluteIQ.

Changing the way business is done, reimagining the future of work, and empowering people to improve the quality of their work every day is no small task. That is what we strive for at EvoluteIQ- helping everyone automate complicated processes using their instinct and knowledge.

We make the building of automations accessible to everyone, so it is no longer a mystery for a few.

Would you like to join us on this journey

We are looking for an experienced Principal Data Architect to lead the architecture and scalability of our low-code data pipeline and hyperautomation platform. The ideal candidate has deep expertise in distributed data systems, cloud-native design, and hands-on experience building and deploying production-grade data products at scale.

What You'll Do at EvoluteIQ

• Define and evolve data platform architecture for real-time and batch data processing.
• Design scalable, multi-tenant, cloud-native systems supporting data pipelines and orchestration.
• Guide technology choices across storage, compute, APIs, and orchestration frameworks.
• Ensure production-grade performance, observability, and resilience.
• Partner with product and engineering teams to translate business requirements into scalable solutions.
• Lead architecture reviews, enforce coding and data quality standards, and mentor engineering teams.

What You Will Bring to the Team

• 15+ years in software engineering with 4+ years in data architecture roles.
• Hands-on experience with distributed systems and data processing frameworks (Spark, Flink, Kafka, Airflow, Dagster).
• Strong Python expertise with libraries such as Pandas, PySpark, NumPy, Dask, FastAPI, and SQLAlchemy.
• Experience with Java/Scala/Python, REST/gRPC APIs, microservices, and event-driven architectures.
• Proficiency with data storage systems (PostgreSQL, MongoDB, Cassandra) and cloud data warehouses (Snowflake, BigQuery, Redshift).
• Familiarity with Kubernetes, Docker, Terraform, and CI/CD pipelines for data workloads.

Good to Have

• Experience with low-code/no-code or ETL builder platforms.
• Knowledge of AI/ML data pipelines, model serving, and feature stores.
• Familiarity with data governance, encryption, and compliance (GDPR, SOC2).
• Proven success in taking products from architecture design to production deployment.