Note: The job is a remote job and is open to candidates in USA. Meltwater is a company focused on empowering its customers through data-driven decisions. They are seeking a Senior/Lead Data Solution Engineer to design and implement scalable data solutions, manage complex data migration, and collaborate with cross-functional teams to ensure a unified view of the customer journey.
Responsibilities
- Design and Implement Scalable Data Solutions
- Lead the design and implementation of innovative, scalable data solutions using Snowflake and other cloud platforms, ensuring the data infrastructure meets current and future business needs
- Build and maintain Customer 360 data models, integrating data from CRM, product usage, marketing, support, and finance systems to provide a unified and trusted view of customers
- Churn Modeling & Analysis: Develop and implement models (including predictive analytics and AI/ML approaches) to identify patterns and signals indicative of churn risk, customer health scores, and expansion opportunities
- BI & Dashboard Development: Create and maintain high-impact dashboards, reports, and alerts using BI tool (Tableau) to provide real-time visibility into customer behavior, engagement metrics, and churn performance for GTM leadership and customer success teams
- Automation & Workflow Optimization: Design and implement automated workflows to trigger proactive interventions, such as alerts to customer success managers when usage drops, or personalized re-engagement campaigns for at-risk accounts
- Cross-Functional Collaboration: Partner closely with Sales, Marketing, Customer Success, Product, and Finance teams to translate business needs into technical data solutions, ensuring alignment and a unified view of the customer journey
- GTM (Go-To Market) Analytics & Revenue Insights
- Design and deliver GTM analytics solutions to support Sales, Marketing, FP&A and Customer Success teams, including funnel performance, pipeline health, conversion metrics, and revenue attribution
- Enable actionable insights for account segmentation, expansion identification, and lifecycle analysis across the customer journey
- Data Governance & Quality: Establish common metric definitions (ARR, ACV, TCV etc) and ensure high data integrity, accuracy, and consistency across all GTM data sources to build trust and reliability in reporting
- Build and maintain GTM data pipelines: Own ingestion, transformation, and syncing of CRM data, product-usage telemetry, billing data, and third-party enrichment data in Redshift to support GTM analytics workstreams
- Develop core GTM & revenue data models: Improve operational efficiency through standardization of datasets for SalesOps, RevOps, Finance, and the executive team, while establishing common metric definitions across revenue, customer segments, and more
- Ship dashboards, alerts, and decision-making tools: Improve telemetry into business performance by building dashboards to track things like sales funnel performance and pipeline quality. Better inform GTM leadership through automation of weekly/monthly reporting and establishing a revenue forecast
- Own the GTM analytics roadmap: Partner with GTM leadership and Team to maintain a backlog of GTM analytics engineering work. Proactively identify the next set of capabilities the GTM org needs (forecasting, routing logic, new usage signals, etc)
Skills
- Expert-level knowledge of Snowflake, AWS RDS, MySQL, and data modeling
- Demonstrated ability to architect end-to-end scalable cloud data platforms, supporting analytics, AI/ML, and operational use cases
- Experience enabling and supporting AI/ML workflows, including feature engineering, data preparation for models, and integration of predictive insights into analytics platforms
- Hands-on or working knowledge of Snowflake Cortex, including leveraging native LLM and ML capabilities for use cases such as customer insights, churn signals, text analysis, and automation
- Proficient in SQL and Tableau with experience in building data sources and dashboards for high-level business insights
- Hands-on experience with ETL processes and tools (e.g., Fivetran, Boomi)
- Strong understanding of data security, compliance, and governance frameworks
- Proven experience in cloud cost optimization and performance tuning
- Capable of leading cross-functional teams and projects in a remote/offshore environment
- Expertise in Salesforce CRM, including designing and managing robust integrations with Snowflake to support analytics, Customer 360, and GTM use cases
- Advanced proficiency in Tableau Analytics, with experience building executive-level dashboards, data products, and self-service analytics solutions
- Proven experience designing and implementing AI/ML-driven solutions within modern data architectures, translating advanced analytics into actionable business insights
- Strong leadership skills with a focus on mentorship, strategic decision-making, and driving innovation
Benefits
- Flexible paid time off that allows you to have an enhanced work-life balance.
- Excellent medical, dental, and vision options
- 401(k) matching, life insurance, commuter benefits, and parental leave plans
- Complimentary CalmApp subscription for you and your loved ones, because mental wellness matters.
- Energetic work environment with a hybrid work style, providing the balance you need.
- Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career.
Company Overview
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