About the Company
We are looking for an experienced Technical Architect (Data) 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.
About the Role
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.
Responsibilities
- 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.
Qualifications
- 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.
Required Skills
- Reliable, high-performance data systems in production.
- Scalable, modular, and secure architecture.
- Improved throughput, latency, and developer velocity.
- Strong architectural discipline and positive mentoring impact.
Preferred Skills
- 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.
Pay range and compensation package
Not specified.
Equal Opportunity Statement
We are committed to diversity and inclusivity.
