Head of Data Engineering
- Ifood Web Media
- 8 - 10 years
- Bengaluru
- 5 months ago
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Job Description
Job Title: Director / Head of Data Engineering OTT Streaming Platform
Location: [City, Country / Remote]
Department: Data & Analytics
Reports to: Chief Technology Officer (CTO) / Chief Data Officer (CDO)
Role Overview
We are looking for an accomplished Director / Head of Data Engineering to lead our data engineering organization, shaping the architecture, strategy, and execution of data systems that drive the heart of our OTT streaming business. This leader will be responsible for building and optimizing a world-class, AI-powered data platform that processes billions of events dailyfrom user playback behavior and content metadata to ad performance and network delivery metrics.
In this role, you will not only ensure data scalability, accuracy, and security but also champion the use of AI, machine learning, and automation to accelerate ingestion, processing, modeling, and analytics. Your leadership will influence critical areas including personalization algorithms, real-time ad targeting, audience insights, churn prediction, and operational efficiency for our AVOD, SVOD, and Linear FAST channels.
Key Responsibilities
1. Data Strategy & Architecture
- Define and execute the long-term vision for enterprise-scale data infrastructure, ensuring it supports business growth, innovation, and monetization strategies.
- Architect and evolve a hybrid real-time and batch data platform capable of handling petabyte-scale workloads.
- Drive AI-first design principles in data processing, warehouse optimization, and metadata management.
- Evaluate and implement automation-first pipelines for hourly, daily, and event-driven data updates.
2. AI & Automation Leadership
- Lead the integration of AI/ML-based solutions for schema optimization, anomaly detection, metadata enrichment, automated ETL orchestration, and query performance tuning.
- Champion generative AI applications for automated documentation, pipeline debugging, and data quality reporting.
- Build predictive analytics capabilities into the platform to anticipate scaling needs, detect streaming anomalies, and optimize ad delivery in real time.
- Deploy AI-powered monitoring to proactively identify and resolve data issues before they impact business metrics.
3. Team Leadership & Development
- Lead, mentor, and scale a high-performing global data engineering team including managers, senior engineers, and data architects.
- Foster a culture of innovation, automation, and continuous learning.
- Collaborate closely with Data Science, Product, Ad Tech, and Engineering leadership to align priorities and deliver measurable outcomes.
4. Data Quality, Governance & Compliance
- Oversee data governance frameworks ensuring accuracy, completeness, lineage, and security.
- Ensure compliance with GDPR, CCPA, SOC 2, and other relevant regulations.
- Integrate AI-enabled governance tools for policy enforcement, data cataloging, and automated classification of sensitive information.
5. Cross-Functional Business Impact
- Partner with content, marketing, ad sales, and operations to ensure that data insights directly drive revenue growth, engagement, and retention.
- Provide strategic input on personalization engines, ad targeting algorithms, and customer lifecycle analytics.
- Translate complex technical concepts into actionable business strategies for the executive team.
Qualifications
Required:
- Bachelors/Masters degree in Computer Science, Data Engineering, or related field; PhD a plus.
- 12+ years in data engineering, with at least 5 years in leadership roles managing large-scale data platforms.
- Proven track record in OTT, media streaming, or other high-scale consumer technology environments.
- Expertise in cloud-based data platforms (AWS, GCP, Azure) and data warehousing technologies (Snowflake, BigQuery, Redshift, Databricks).
- Deep knowledge of distributed data processing frameworks (Apache Spark, Flink, Beam).
- Strong experience with real-time streaming data systems (Kafka, Kinesis, Pub/Sub).
- Hands-on success in applying AI/ML to data engineering, including automation, performance tuning, metadata enrichment, and anomaly detection.
- Exceptional ability to design and implement highly available, cost-optimized, and performance-focused data ecosystems.
Preferred:
- Background in ad tech and monetization analytics for AVOD/FAST platforms.
- Experience integrating recommendation systems, A/B testing platforms, and audience segmentation pipelines.
- Familiarity with MLOps, feature store architectures, and model monitoring.
Key Skills & Attributes
- Visionary leadership with hands-on technical credibility.
- Strategic thinking balanced with execution focus.
- Strong business acumenable to link data engineering excellence with revenue, retention, and cost optimization.
- Passion for AI-driven transformation in data engineering.
- Excellent communication and storytelling skills for C-suite and technical audiences alike.
Performance Metrics
- Reduction in data pipeline latency and operational overhead through automation.
- Measurable AI-driven efficiency gains in processing, storage, and analytics.
- Data platform uptime, cost optimization, and scalability benchmarks.
- Quality and timeliness of business insights delivered.
- Team engagement, retention, and innovation output.
Job Classification
Industry: Internet (OTT)Functional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: Ifood Web MediaLocation(s): Bengaluru
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Ifood Web Media
Important Links that you can look up are: http://futuretodayinc.com/ (parent company) https://fawesome.tv/ https://happykids.tv/ About the Company: We are an OTT video streaming company, which specializes in cutting edge media technology and marketing. iFood Web Media Technology is the Indian ar...
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