Senior or Lead Data Engineer, Salesforce
$172-276.1k
World's leading CRM provider
Job no longer available
World's leading CRM provider
1001+ employees
Job no longer available
$172-276.1k
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- The right candidate will have strong experience with data infrastructure, data architecture, ETL, SQL, automation, real time data pipeline architecture, data frameworks and processes to rapidly integrate disconnected and disparate data sources into automated datasets for analysts consumption
- The candidate will also have proven track record working with enterprise metrics, strong operational skills to drive efficiency and speed, expertise building repeatable data engineering processes, strong project management skills, and a vision for how to deliver data products
- Experience with marketing and sales data sets is a significant advantage
- A passion for data is essential - this is what we do. We are looking for people who are excited about different and unique data sets, and all the ways that they could be used in order to improve user experience
- 13+ years total experience and 8+ years of relevant experience within big data/data warehousing domain. Proven track record of leading end to end data engineering solutions
- Solid understanding of RDBMS concepts, data structures and distributed data processing patterns
- Strong hands on experience with building data pipelines and orchestration through components like AWS Lambdas, Airflow etc
- Expertise in Advanced SQL & Python language is must Experience with Cloud technologies like AWS and GCP
- Experience with Salesforce Data Cloud
- Experience with Salesforce products and data model
- Experience with building/implementing DevOps methodologies
- Deep hands-on experience in complex event driven architectures and stream processing in a variety of technologies
- Proven track record in building products on some production-grade systems
- Partner with Product Managers and Data Scientists to understand customer requirements and design prototypes and bring ideas to production
- Passionate, curious, self-starter and innovate mentality
- Experience with Sales and Marketing data is a significant advantage
- Knowledge of Agile methodologies, common scrum practices and tools
- Preference for candidates having certification or hands on experience with Salesforce Data Cloud
- A related technical degree required
What the job involves
- We’re looking for an experienced and dedicated data engineering lead who would deliver Salesforce Marketing’s data foundation and automated datasets
- This lead will work closely with product management, data science, data visualization, and analyst teams to support them by building data architecture and data pipelines using Google Cloud Platform(GCP), who would consume this data for producing business driven insights and AI solutions
- Design and Implement of data pipelines, both batch and real time, that produces reliable data for various data consumption use cases
- Help manage Marketing data platforms which includes the Google Cloud stack, Amazon Web services, and traditional data warehouses such as Oracle/Snowflake
- Architect, Design and Implement real time engineering solutions on Salesforce Data Cloud
- Manage all aspects of dataset design, creation, and curation; including the frameworks to derive metrics to deliver data products for KPI’s, visualization, data science, analyst and stakeholder teams
- Build and own the automation and monitoring frameworks that showcase reliable, accurate, easy-to-understand metrics and operational KPIs to stakeholders for data pipeline quality and performance
- Drive design, building, and launching of new data models and data pipelines in production systems
- Be the subject matter expert for data, pipeline design, and other related data cloud features and technology
- Proactively identify reliability & data quality problems and drive triaging and remediation process
- Must have good experience in creating Workflows & scheduling the pipelines
- Partner with Analysts and Data Scientists on delivering reliable data that powers actionable insights
- Evaluate various technologies and platforms in open source and proprietary products. Execute proof of concept on new technology and tools to pick the best tools and solutions
- Understanding of data governance practices such as metadata management, data lineage, and data glossaries a significant advantage
- Foster strong collaboration between globally distributed team members
- Harness operational excellence & continuous improvement with a can do attitude
Our take
Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.
By providing essential, customer-oriented CRM software, Salesforce places itself at the heart of digitised businesses. Furthermore, by building out its AI capabilities, the company removes the complexity of AI, enabling any business to deliver smarter, personalised and more predictive customer experiences.
Due to the continued innovation offered by the company, over 150,000 companies, both big and small, are growing their business with Salesforce today. Despite a tumultuous 2023 filled with activist investors, a boardroom shake-up and the unprecedented step-down of Co-CEO Bret Taylor, Salesforce continues to close several acquisition deals and managed to drive up its stock value by 96% from the end of 2022 to 2023.
Steph
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2001
$46.9m
SERIES D
Nov 1999
$13.2m
SERIES C
Total funding: $64.5m
Company benefits
- With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year
Company HQ
Financial District, San Francisco, CA
Leadership
Marc Benioff
(Chair & CEO)Previously Senior Vice President at Oracle Corporation for 13 years.
Parker Harris
(CTO)Previously worked as a Software Engineer for over six years. Harris also co-founded Left Coast Software.
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