Salesforce Senior Software Engineer - Slack Data Engineering 

United States, Georgia, Atlanta 

628581580

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Job Details

About SlackAbout the RoleAs a, you will be responsible for championing the. Our mission is to develop and maintain dependable, trusted, and well-governed data models and metrics that ensure consistency, accuracy, and timely access to insights. In this role, you will work cross-functionally with business domain experts, analytics, and engineering teams to design and implement our data warehouse model. You willYou will lead initiatives to formalize data governance and management practices, streamline our information lifecycle, and define key company metrics. You will also provide mentorship and hands-on technical support to help build trusted and reliable data products.

• You will translate business requirements into data models that are easy to understand and used by different disciplines across the company
• You will design, implement and build pipelines that deliver data with measurable quality under the SLA
• You will partner with business domain experts, data analysts, data science and engineering teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service
• You will be a champion of the overall strategy for data across multiple teams and different use cases
• You will increase access to foundational company metrics through process and technical foundations
• You will identify, document and promote data engineering best practices throughout Slack
• You will build systems that enable automation and AI-native insights generation and decision-making

• You have over 5 years of hands-on experience in data architecture, data modeling, master data management, and metadata management, with a total of 8+ years of overall experience in software engineering.
• You have a proven track record of scaling and optimizing schemas, and performance tuning SQL and ETL pipelines in OLAP and data warehouse environments.
• You have proficiency in at least one programming language commonly used within Data Engineering, such as Python, or Java.
• You have hands-on experience with Big Data technologies such as Snowflake, Spark, Airflow, and Hive
• You have recent accomplishments working with both relational and NoSQL data stores, as well as various data modeling approaches (e.g., logging, columnar, star and snowflake schemas, dimensional modeling).
• You are familiar with data governance frameworks, the software development life cycle (SDLC), and Agile methodologies.
• You possess excellent written and verbal communication skills, along with strong interpersonal abilities to collaborate effectively with both technical and business stakeholders.
• You hold a Bachelor's degree in Computer Science, Engineering, or a related field, or have equivalent training, fellowship experience, or relevant work experience.

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