Senior Software Engineer - Data Platform

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Temporal Technologies

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

☁️ SaaS

💰 $75M Series B on 2023-02

Description

• Designing and architecting the data platform in such a way that provides near term value while also considering the ability to scale to our rapidly growing data size and needs • Build out data pipelines to support ingestion of both event driven and batch driven workloads from internal tooling as well as 3rd party software and APIs • Harden existing pipelines with data quality checks • Model data for OLAP purposes • Evaluate and recommend tooling such as data processing engines, table formats, and reverse ETL • Take end to end project ownership by facilitating working sessions with engineers and business stakeholders to design and produce data solutions that appropriately meet business needs • Create guidelines and standards for how teams external to the Data Engineering team can both add data to, and access data from, the data platform • Analyze costs associated with the data platform to provide projections and recommendations • Monitor performance of scheduled and streaming operations to ensure optimal performance of data ingest, processing, and querying • Contribute to data platform roadmap by evaluating opportunities and recommending projects tied to delivering business needs • Create actionable dashboards and analyses that drive behavior in our business • Train and enable stakeholders on new data products as they are released to ensure optimal utilization and outcomes • Provide mentorship to junior engineers

Requirements

• At minimum 7 years of industry (post graduate) experience across the data stack (ingest, storage, compute, data modeling, visualization) • 0-1 experience designing and architecting a data platform for a SaaS business • Experience owning key components of SLA bearing production data platform relying on distributed storage and compute components • Experience building out data lake architectures • Deep expertise within at least one of the major cloud providers (AWS, GCP, Azure) • Experience working with a wide range of data sources (APIs, logs, event stores, etc.) • Extreme proficiency in Python and SQL, additional languages a plus • Experience with multiple data processing and query engines (Spark, Presto/Trino, Athena, BigQuery, etc.) • Significant experience with both object stores and relational databases such as S3 and Redshift • Ability to quickly gain proficiency in new tools and technologies • Strong desire to continue to learn and experiment • Strong communicator and collaborator with the ability to connect technical projects to business impact

Benefits

• Unlimited PTO, 12 Holidays + 2 Floating Holidays • 100% Premiums Coverage for Medical, Dental, and Vision • AD&D, LT & ST Disability, and Life Insurance (Standard & Supplemental Available) • Empower 401K Plan • Additional Perks for Learning & Development, Lifestyle Spending, In-Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend and more!