Sr. Manager of Data Engineering (Remote) at Jobgether

, , Colombia -

Full Time

Start Date

Immediate

Expiry Date

20 Jun, 26

Salary

0.0

Posted On

22 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, GTM Data Enablement, Architecture, CDP, Product Instrumentation, Data Orchestration, Team Management, Coaching, Data Platform Collaboration, ROI Prioritization, Event Instrumentation, Lead Scoring, Attribution, Campaign Activation, Data Pipelines, Audience Activation

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Manager, Data Engineering - REMOTE. In this strategic role, you will lead the initiatives that bridge the critical functions of data engineering with our Go-to-Market (GTM) approach. Your expertise will be essential in driving the architecture that enables business growth through data-driven decisions. You will directly collaborate with marketing and sales leaders to enhance operational efficiencies. This position not only offers you the chance to innovate and lead but also to impact real-world business outcomes. Join a dedicated team where your contributions will be valued and recognized as we redefine financial automation. \n Accountabilities Lead GTM Data Enablement strategy and roadmap; translate business goals into scalable technical plans and measurable outcomes. Own the vision and architecture for our CDP and product instrumentation to deliver real-time, reliable event data to GTM systems. Build and maintain the ‘paved path’ from data lake/warehouse to GTM tools, enabling audience segmentation, activation, and customer 360. Drive end-to-end data orchestration and quality for GTM use cases. Manage, coach, and grow a team of GTM enablement engineers; instill a culture of accountability and innovation. Collaborate closely with Data Platform/Infra to leverage the enterprise source of truth while meeting performance goals. Partner with GTM leaders to prioritize high ROI initiatives and communicate progress effectively. Requirements 10+ years in data engineering or analytics with experience supporting Marketing, Sales, or Growth operations. Proven leadership in building and leading technical teams in a fast-paced SaaS environment. Expertise in GTM data concepts like event instrumentation, lead scoring, attribution, and campaign activation. Strong ability to translate complex technical solutions into business value for non-technical partners. Hands-on experience with modern data platforms/architectures and CDP ecosystems. Demonstrated success in delivering real-time data pipelines and audience activation across GTM tools. Benefits 100% paid employee health, dental, and vision plans. HSA & FSA accounts. Life Insurance and disability coverage. Employee Assistance Program (EAP). 11+ Observed holidays, wellness days, and flexible time off. Employee Stock Purchase Program with discounts. Wellness and fitness initiatives. Employee recognition and referral programs. And much more. \n Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

This role involves leading the GTM Data Enablement strategy, translating business goals into scalable technical plans, and owning the vision and architecture for the CDP and product instrumentation. Responsibilities also include driving end-to-end data orchestration, managing and coaching the engineering team, and collaborating with Data Platform/Infra.