Senior Data Infrastructure Engineer

Why join us

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside work.

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:

• Business Insider named us an "enterprise startup to bet your career on".
• Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world.
• Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area and 96th in North America.
• Quartz ranked us the #1 best company for remote workers.

About Platform

Workato Data Platform is based on industry-leading technologies such as Snowflake Data Warehouse, ClickHouse Database, Airflow, Apache Kafka and AWS (RDS, Lambda, Fargate, etc.), Prometheus, VictoriaMetrics and Workato SaaS solution itself for collecting data from third-party business-supporting services. We are currently working on upgrading the platform to meet the new requirements of rapidly growing business, such as:

• Increase the confidence in analytical data.
• Create the clearest possible vision of the user journey.
• Minimize the gap between data emitting and data availability for analytical purposes.
• Support for a fast-growing amount of data.

We plan to achieve this by adopting some additional leading-edge technologies such as DBT, Trino, Kafka Streams, Kafka Connect, and DataHub unified metadata management platform. Thus, you will work with the technologies that are relevant in the industry and will have challenging tasks.

Responsibilities

As a Senior Data Infrastructure Engineer, you will be responsible for deploying, scaling and maintaining services at the core of the Workato Data Platform, such as analytical data storages, real-time ingestion services, data lakes, and orchestration tools. You will closely work with Data Engineers, and Developers as a part of a small, flexible team and will have a direct impact on the process of modernisation and maturation of the platform, including infrastructure architecture decisions.

Requirements

Technical Skills:

• 8+ years of trackable work experience with deploying and supporting data-intensive services.
• Production experience with building deployments of services commonly used as a part of the data platform stack, such as Kafka, Debezium, Airflow, Trino/Presto, Spark, Flink, ClickHouse, S3, Firehose, Kinesis, Snowflake, BigQuery, RedShift.
• Experience monitoring, logging, and analyzing service health. Ability to troubleshoot common bottlenecks in data-intensive applications.
• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).
• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, etc.
• Experience with AWS cloud computing (EC2, RDS, EKS, EMR, Route53, VPCs, Subnets, Route Tables).
• Basic knowledge of one or more high-level programming languages, such as Python, Go, Java.
• Experience with a solution for cost optimization and capacity planning.
• A good understanding of Data Privacy and Security (GDPR, CCPA).

Soft skills:

• Good communication and collaboration skills.
• Exposure to or interest in working with Data pipeline technologies.
• Readiness to work remotely with teams distributed across the world and timezones.
• Spoken English (at a level enough to pass technical interviews and later work with colleagues).