GTM Systems Engineer
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Granica
NewBuild backend APIs and scalable data pipelines using Python and PySpark, working with data lakehouse technologies like Iceberg, Delta Lake, Snowflake, and Databricks. This role requires 5+ years in software or data engineering, hands-on expertise with workflow orchestration tools like Airflow, and proven experience designing large-scale distributed data architectures. You'll manage infrastructure as code with Terraform, optimize big data frameworks, and collaborate across teams on complex data challenges. Based in Bengaluru.
Written from this posting by Neural Jobs AI. The full description is below.
Join Granica’s core engineering team to design and scale systems powering data workflows, automation, and analytics. This is a deep engineering role—not feature delivery.
Build backend APIs and scalable data pipelines (Python, PySpark).
Work with modern data lakehouse/warehouse tech (Iceberg, Delta Lake, Snowflake, Databricks).
Orchestrate workflows (Airflow) and optimize big data frameworks.
Manage infra as code (Terraform) and ensure reliability with monitoring/logging.
Collaborate across teams and with customers to solve complex data challenges and design seamless integration solutions.
Drive best practices in scalability, reliability, and cost efficiency.
5+ years in software/data engineering or infrastructure roles
Strong Python skills (backend APIs a plus)
Proven ability to build scalable data pipelines from scratch
Hands-on with Apache Iceberg/Delta Lake + Snowflake/Databricks
Workflow orchestration expertise (Airflow, Luigi, etc.)
Big data frameworks experience (Spark, Hadoop)
Familiar with monitoring/analytics tools (Prometheus, Grafana, ELK, Datadog)
Skilled in designing scalable, reliable, cost-efficient systems
Experience with large-scale distributed data architectures
Thrives in fast-paced startup environments
Excellent problem-solving, communication, and customer-facing skills
Hands-on experience with Terraform or other infrastructure-as-code tools.
Familiarity with security and privacy best practices in data processing pipelines.
Exposure to cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes).
Competitive salary, meaningful equity, and performance bonus for top performers
401(k) with company match, comprehensive health coverage, and unlimited PTO
Daily catered meals in our Mountain View office
Support for research, publication, and conference participation
At Granica, you'll help build the next generation of enterprise AI—from exabyte-scale data infrastructure, Large Tabular Models (LTMs), and stateful AI agents. Together, we're creating the infrastructure that enables enterprises to own their data, own the intelligence built on it, and scale both efficiently.
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Granica builds AI infrastructure and foundation models for large-scale enterprise structured data.
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