Customer Data Solutions Specialist | Hybrid | Makati | Night Shift | Day 1 HMO

Where Data Challenges Become Customer Wins Bring clarity to complexity. Be the go-to expert who helps global clients turn data discrepancies into actionable insights. Work with leading tools like Snowflake, Databricks, and Tableau , collaborate across technical and business teams, and make an impact where data meets real-world solutions-all while building a global career from home. Shape the Future of Data-Driven Customer Success Be part of our client's team as a Customer Data Solutions Specialist or Customer Solutions Representative , supporting enterprise-level customers by troubleshooting data ingestion, transformation, and visualization workflows. You'll collaborate with data engineers, product specialists, and account managers to resolve technical challenges, improve data quality, and elevate the overall client experience. Career Snapshot Employment type: Full-timeShift: Night Shift (11:00 PM - 8:00 AM), Weekends OffWork setup: Hybrid, Makati (2 days in the office per week; with potential to be WFH) Why You'll Love Working Here Day 1 HMO coverage with free dependent Competitive Salary Package Night differential pay to maximize your earnings Hybrid work arrangement Prime office location in Makati (Easy access to MRT stations, restaurants, and banks) Salary Advance Program through our banking partner (Eligibility and approval subject to bank assessment. Available to account holders with minimum of 6 months company tenure.) Unlimited upskilling through Emapta Academy courses (Want to know more? Visit Free 24/7 access to our office gyms (Ortigas and Makati) with a free physical fitness trainer Exclusive Emapta Lifestyle perks (hotel and restaurant discounts, and more) Unlimited opportunities for employee referral incentives across the organization Standard government and Emapta benefits Total of 20 annual leaves to be used on your own discretion (including 5 credits convertible to cash) Fun engagement activities for employees Mentorship and exposure to global leaders and teams Career growth opportunities Diverse and supportive work environment What You'll Bring Bachelor's degree in Information Systems, Computer Science, or related technical field; or equivalent experience in data operations, integration, or analytics. 2-4 years of experience in a customer-facing technical role such as Data Operations, Technical Support, or Customer Solutions. Hands-on experience with modern data platforms such as Snowflake, Databricks, Fivetran, Tableau , or similar BI/ETL tools. Proficient in SQL and Python , with the ability to troubleshoot and validate data across multiple environments. Solid understanding of data pipelines, ingestion, APIs, and schema management , aligning with complex enterprise data ecosystems. Proven ability to translate complex technical concepts into clear, actionable communication for enterprise clients. Experience collaborating with cross-functional teams (Product, Sales, and Customer Support) to address customer needs and improve system performance. Strong analytical, organizational, and problem-solving skills with a proactive approach to issue resolution. Excellent written and verbal communication skills; comfortable interfacing with both technical and non-technical stakeholders. Self‑motivated, detail‑oriented, and committed to continuous learning in data and customer success. What You'll Do Provide front‑line technical support to enterprise clients for issues related to data delivery, ingestion, and integration workflows across platforms such as Snowflake, Databricks, Fivetran, and Tableau. Investigate, reproduce, and resolve data pipeline and API issues-including ingestion errors, schema mismatches, authentication failures, and data discrepancies. Validate datasets using SQL and Python to ensure accuracy, completeness, and consistency of customer‑delivered data. Develop, maintain, and apply a deep understanding of the client's data architecture, APIs, and schema structures to deliver precise troubleshooting and guidance. Collaborate with Data Engineering, Product, and Sales teams to provide detailed findings, technical insights, and root‑cause analyses for escalated issues. Translate complex technical concepts into clear, actionable communication for non‑technical stakeholders and clients. Identify recurring issues, connect data‑quality patterns, and recommend automation or process improvements to strengthen product stability. Maintain detailed documentation in the support system to enhance visibility, reporting accuracy, and knowledge sharing. Monitor SLA adherence, proactively communicate status updates, and ensure timely resolution of customer requests. Demonstrate ownership of each case‑driving technical resolutions from investigation through to successful client confirmation. About the Client Our client is a trailblazer in real estate data and analytics , trusted by global enterprises for their comprehensive, AI‑ready property intelligence. With access to over 158 million U.S. parcels , they empower industries—from real estate and insurance to mortgage and marketing—to make data‑driven decisions with confidence. Strengthened by continuous innovation, our client continues to redefine property data transparency, delivering world‑class solutions that fuel smarter insights, better investments, and meaningful business impact. Why Emapta? Recognized as one of the Top 20 Dream Companies of Filipinos in 2024 , Emapta connects skilled professionals with world‑class organizations. We provide a collaborative and inclusive environment where your career thrives—offering competitive pay, stability, global exposure, and meaningful work that supports your growth and balance. #EmaptaEra #J-18808-Ljbffr