Sr. Data Engineer

Sr. Data Engineer (Enrichment/MDM/CDP)

As a Senior Data Engineer, you will be working cross-functionally with business domain experts, analytics, and engineering teams to design and implement our Data Warehouse model. You will be working in our Business Technology Data and Analytics function and have an opportunity to build out this team from scratch with an eye of developing a sound data foundation and processes that will scale with the company’s growth. You will design, implement data pipelines enabling insights from our Product, Corporate Systems and third-party data providers for key partners and decision makers at Slack. You would also be responsible for enriching, enhancing and maintaining our data warehouse.

This is a fun role for problem solvers, who can intuitively anticipate problems and can also look beyond immediate issues. It is for people who take initiative to improve both our software and our development infrastructure. In short, we look for people who take pride in the craft and want to be part of creating and defining the team's operating model and contribution to the company. They will be a self-starter, detail and quality oriented, and passionate about having a huge impact at Slack. If this role has your name written all over it, please contact us with a resume so that we explore further.

Responsibilities

Design, implement and build pipelines that deliver data with measurable quality under the SLA

Enhance and support processes enriching 1st party data with data from 3rd party sources

Support and Maintain analytics tech ecosystem (data warehouse, ETL and BI tools)

Partner with Data Engineers, Data architects, domain experts, data analysts and other teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service

Be a champion of the overall strategy for data governance, security, privacy, quality and retention that will satisfy business policies and requirements

Own and document data pipelines and data lineage

Identify, document and promote best practices

Requirements

BS degree in Computer Science or Engineering discipline.

8+ years work experience showing growth as a Senior Data Engineer.

2+ years of experience in working with marketing data engineering in an enterprise.

Very strong experience in SQL, dimensional modeling, supporting data warehouse, scaling and optimizing, performance tuning and ETL pipelines

Deep understanding of relational as well as big data setup. Preferred: Prior experience with Snowflake, ETL tools (e.g. Informatica, Matillion, Snaplogic), Hive, Presto

Proficiency with programming languages (e.g. Python)

Proficiency in Airflow is a big plus

Experience with MDM (Master Data Management) or CDP is a big plus

Experience working with 3rd party data sources like D&B, Clearbit, InsideView, DemandBase, ZoomInfo etc. is a big plus

Passionate about various technologies including but not limited to SQL/No SQL/MPP databases etc.

Hands-on experience with Data Warehouse technologies (Snowflake, Redshift) and Big Data technologies (e.g Hadoop, Hive, Spark)

Problem solver with excellent interpersonal skills with ability to make sound complex decisions in a fast-paced, technical environment.

Capable of planning and executing on both short-term and long-term goals individually and with the team.

Excellent written and verbal communication and interpersonal skills, able to effectively collaborate with technical and business partners

Excellent understanding of trade-offs

Demonstrated ability to navigate between big-picture and implementation details

Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.

Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.

Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Come do the best work of your life here at Slack.