Lead Data Engineer / Engagement Manager, Media &
- Location
- Toronto, Ontario, Canada
- Salary
- Not specified
- Company
- Akash pawar
Job description
### Role & Company / Project Overview Straive (formerly SPi Global) is a global leader in AI-driven value creation, business transformation, and Global Capability Center (GCC) delivery empowering private-equity portfolio companies, mid-market firms, and enterprises with scalable, technology-enabled execution. Straive operationalizes Data Analytics and AI for global enterprises, working with several Fortune 500 companies across industries including Banking, Financial and Information Services, Retail, Media and Technology, EdTech, Science and Research, Logistics and Supply Chain, and Pharma & Life Sciences, supported by a team of 20,000+ employees operating in nine countries. We are seeking a highly skilled Lead Data Engineer / Engagement Manager with deep technical expertise in Databricks, PySpark, and AWS to drive solution architecture and delivery for our Media & Entertainment clients across Gen AI solution implementation, semantic models, streaming/OTT, SVOD/AVOD, and sports analytics. Operating in a hands-on technical capacity, this role bridges business strategy and engineering execution by translating client priorities into actionable technical roadmaps, leading onshore-offshore delivery, and integrating modern AI technologies into enterprise data platforms. ### Key Responsibilities & Daily Duties - Architect, scale, and maintain robust enterprise data platforms using Databricks (Delta Lake, Workflows, Unity Catalog), PySpark, and AWS services. - Embed GenAI and machine learning capabilities (e.g., Databricks Genie, semantic layers, AI agents) into data engineering workflows. - Lead the end-to-end ingestion, modeling, and processing of complex Nielsen media measurement datasets (National/Local TV ratings, Digital Ad ratings, Panels) to power downstream analytics and reporting pipelines. - Serve as the primary onshore technical contact for executive and business stakeholders. - Translate complex client requirements into technical roadmaps, align sprint deliverables with business priorities, and identify growth opportunities within client engagements. - Manage scope, timelines, architecture reviews, and sprint execution across multi-functional onshore and offshore engineering teams, ensuring high-quality, continuous delivery. - Guide and mentor junior and mid-level data engineers through rigorous code reviews, data quality frameworks, CI/CD automation, and cloud cost/performance optimization best practices. ### Required Qualifications, Skills & Experience - 10+ years of overall experience. - 4+ years driving data engineering solutions on Databricks. - 3+ years applying AI in data engineering. - 5+ years managing onshore + offshore delivery teams. - 4+ years in stakeholder and account management. - Hands-on technical expertise in Databricks (Delta Lake, Workflows, Unity Catalog), PySpark, and AWS cloud services. - Domain experience in Media & Entertainment (Nielsen Audience, Streaming, OTT, SVOD/AVOD, Sports Analytics). - Experience with Gen AI solution implementation, semantic models, Databricks Genie, and AI agents. ### Working Hours, Shifts & Location Details - Location: Greater Toronto Area, Ontario, Canada - Employment Type: Full-Time (FTE) | Onsite-Offshore Collaboration ### Compensation & Benefits - Not specified ### Application Instructions - Interested candidates should apply by sharing an updated CV or connecting via direct message.