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 care--about 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?
The EIQ 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 every day at EvoluteIQ. To enable everyone to automate complicated processes with their instinct and knowledge.
We make building of automation simple for everyone, so that it is not mystery for a few.
Would you like to be part of this journey?
We are looking for an experienced
Technical Architect (Data)
to lead the architecture and scalability of our low-code data pipeline and Agentic Automation platform. The ideal candidate has deep expertise in distributed data systems, cloud-native design, and has built and deployed production-grade data products used 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, and 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 will you 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.
Proficient with data storage systems (PostgreSQL, MongoDB, Cassandra) and cloud data warehouses (Snowflake, BigQuery,Redshift).
Familiar 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.
Success Indicators:
Reliable, high-performance data systems in production.
Scalable, modular, and secure architecture.
Improved throughput, latency, and developer velocity.
Strong architectural discipline and team mentorship impact.
What We Offer
Opportunity to shape the strategy of a next-gen hyper-automation platform.
Work with a cross-disciplinary team in a fast-growing, innovation-driven environment.
Competitive compensation and growth opportunities.
A culture of innovation, ownership, and continuous learning.
Ready to take the next step in your career journey with us? Apply now and become part of a dynamic team that values expertise, collaboration, and a positive work culture!
Don't Meet Every Requirement? We Still Want to Hear From You!
Please go ahead and apply anyway.
We know that experience comes in all shapes and sizes and passion can't be learned. If you believe, then we would like to meet you and explore that belief!
We value a range of diverse backgrounds, experiences, and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, colour, religion, sex, sexual orientation, gender identity and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes.
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