Senior Data Engineer, Catalyst Software
$140-180k
+ Equity
More information about location
Customer success platform
Job no longer available
Customer success platform
201-500 employees
Job no longer available
$140-180k
+ Equity
More information about location
201-500 employees
Company mission
To move Customer Success to the center of every organization.
Role
Who you are
- 3+ years of experience successfully implementing modern data architectures
- Strong Project Management skills
- Demonstrated experience implementing ETL pipelines with Spark (we use Pyspark)
- Proficiency in Python, SQL and/or other modern programming language
- Deep understanding of SQL/New SQL with relational data stores such as Postgres/MySQL
- A strong desire to show ownership of problems you identify
- Experience with modern Data Warehouses and Lakes such as Redshift, Snowflake, and Databricks Delta Lake
- Experience with distributed streaming tools like Kafka and Spark Structured Streaming
- Familiarity with an orchestration tool such as Airflow, dbt, and Delta Live tables
- Experience with automated testing for distributed systems (unit testing, E2E testing, QA, data expectation monitoring)
- Experience working with application engineers, product, and data scientists
- Experience with leveraging caching for performance using data stores such as Redis and ElasticSearch
- Experience with maintaining and scaling heterogeneous and large volumes of data in production
- Practical experience with DevOps best practices (CICD, IAC) is a plus
- Familiarity with Change Data Capture systems is a nice to have
What the job involves
- As a Senior Data Engineer, you will be directly responsible for designing and implementing the next-generation data architecture leveraging technologies such as Databricks, TiDB, and Kafka
- Drive high impact, cross-functional data engineering projects built on top of a modern, best-in-class data stack, working with a variety of open source and Cloud technologies
- Solve interesting and unique data problems at high volume and large scale
- Build and optimize the performance of batch, stream, and queue-based solutions including Kafka and Apache Spark
- Collaborate with stakeholders from different teams to drive forward the data roadmap
- Implement data retention, security and governance standards
- Work with all engineering teams to help drive best practices for ownership and self-serve data processing
- Support and expand standards, guidelines, tooling and best practices for data engineering at Catalyst
- Support other data engineers in delivering our critical pipelines
- Focus on data quality, cost effective scalability, and distributed system reliability and establish automated mechanisms
- Work cross functionally with application engineers, SRE, product, data analysts, data scientists, or ML engineers
Our take
Brothers Edward and Kevin Chiu founded Catalyst Software after working together at DigitalOcean. During their time there, they recognized a notable gap in the market for effective customer success tools. Thus, Catalyst Software was conceived to address this deficiency, catering to the increasing demand for Customer Success Managers to acquire data analytics skills, an expertise often beyond their usual scope.
Catalyst's customer success platform serves as a hub for aggregating data from various SaaS touchpoints, including platforms like Salesforce and Mixpanel. It then simplifies this data into a single API dashboard. This consolidation allows customer success teams to conduct more thorough performance analyses and utilize automated engagement tools.
The company's momentum remains strong, marked by significant fundraising efforts, the acquisition of high-profile clients like Frame.io and LaunchDarkly, and an estimated company valuation exceeding $125 million underscores its promising position within the market.
Steph
Company Specialist at Welcome to the Jungle
Insights
66% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Sep 2022
$21.4m
LATE VC
Mar 2022
$21.5m
LATE VC
Total funding: $88.2m
Company benefits
- Generous equity, ensuring that everyone has a stake in our growth
- Unlimited PTO, so that you can rest and recharge
- Mental Health Days every month and Mental Health Weeks twice per year, which the entire company takes off
- Up to 100% paid medical, dental, and vision plans for you and your loved ones
- Comprehensive financial planning support
- Monthly wellness stipend, to ensure that you’re taking care of your physical and mental health
- Employer-sponsored 401(k), enabling you to prepare for retirement
- Monthly remote team-building events, including game nights, trivia, and cooking/mixology classes
- Generous parental leave for both primary and secondary caregivers
- Annual education stipend, to ensure that you’re continuously expanding your skill set
Company HQ
Chelsea, New York, NY
Leadership
Edward Chiu
(CEO)Co-Founder & CEO of Sytai. Was a Sales Engineer at Engine Yard. Worked at Digital Ocean for over 2 years, promoted from Director of Customer Success to Success and Sales. Currently an Investor at Metafy and Digraph.
Kevin Chiu
(COO)Worked at Five Stars, promoted from Account Executive to Manager of Inside Sales. Became Manager of Sales Development at Greenhouse Software. Went on to become Head of Sales and Revenue Operations at Digital Ocean. NYC Community Lead & Blog Contributor to Sales Hacker. Listed on 30 under 30 Forbes, 2019 for Enterprise Tech. Is currently a Member of Revenue Collective, and an Investor at Metafy and Lunar.
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