Technical Architect

About the CompanyWe 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 RoleWhat You’ll Do at EvoluteIQDefine 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.Responsibilities15+ 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.QualificationsExperience 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 SkillsReliable, 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 SkillsExperience 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.

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