Job summary
Job post source
This job is directly from griddable.io
Job overview
The Lead Data Engineer at griddable.io leads the design and development of complex data pipelines and solutions to support compliance and business growth through data-driven insights.
Responsibilities and impact
The role involves building scalable data pipelines, ensuring data quality and security, mentoring junior engineers, automating processes, driving data integration strategies, optimizing data models, maintaining documentation, and innovating data engineering solutions.
Experience and skills
Candidates need 6-8 years of data engineering experience, a related technical degree, expertise in big data technologies like Spark, strong coding skills in Python, complex SQL, and dbt, plus an understanding of scalability and reliability for data applications.
Work environment and culture
The company values integrity, accessibility, and innovation, fostering a collaborative environment focused on data-driven decision-making and growth.
Company information
griddable.io is associated with Salesforce's DET Data Solutions, focusing on data and analytics to enhance sales intelligence and business predictability.
Team overview
The candidate will join the Sales Intelligence team responsible for data products and seller applications that boost seller productivity and revenue through timely customer insights.
Job location and travel
The position is hybrid, based in Dallas, TX, combining office and remote work options.
Unique job features
The role offers the opportunity to work on cutting-edge data products impacting sales strategy, with a focus on compliance, automation, and scalability using advanced big data technologies.
Company overview
Griddable.io is a technology company specializing in data synchronization and integration solutions for enterprises, focusing on enabling secure, real-time data movement across hybrid and multi-cloud environments. The company’s core product offers a platform that helps businesses manage, replicate, and transform data between on-premises databases and cloud services, supporting digital transformation initiatives. Griddable.io generates revenue primarily through subscription-based licensing of its software to large organizations seeking to modernize their data infrastructure. Founded by experienced technologists and backed by notable investors, the company was acquired by Oracle in 2019, expanding Oracle’s cloud data management capabilities. Candidates should be aware of Griddable.io’s emphasis on innovation in data connectivity and its integration into Oracle’s broader product ecosystem.
How to land this job
Position your resume to highlight your extensive experience designing and building complex data pipelines, frameworks, and scalable solutions, emphasizing your expertise with big data technologies like Spark and coding skills in Python, complex SQL, and dbt.
Focus on your leadership capabilities by showcasing instances where you provided technical guidance, mentored junior engineers, and championed engineering best practices to drive operational excellence and automation.
Apply through multiple channels including griddable.io's corporate careers page and LinkedIn to maximize your visibility and chances of landing the Lead Data Engineer role.
Connect on LinkedIn with members of the Sales Intelligence or DET Data Solutions teams at griddable.io; use ice breakers like commenting on recent data product launches or asking about how the team adapts to fast-changing go-to-market models.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data pipelines,' 'Spark,' 'Python,' 'complex SQL,' 'scalability,' and 'data integration,' ensuring your resume passes initial automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored resume customization, identify the best application channels, and find relevant LinkedIn contacts to network with, allowing you to focus your time on interview preparation and skill sharpening.
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