Role Overview
We are looking for a Data Engineering Lead to develop, construct, and expand contemporary data platforms while guiding a team of data engineers. This position demands significant hands-on experience in data engineering, cloud technologies, and data architecture, as well as the capability to mentor teams and work closely with business stakeholders. Familiarity with Ads and Marketing platform integrations is highly advantageous.
Key Responsibilities
Technical Leadership
• Lead the architecture, design, and development of scalable, reliable, and high-performance data platforms
• Define and enforce data engineering best practices, standards, and design patterns
• Review code, mentor team members, and drive engineering excellence
• Own technical decisions related to data modeling, storage, and processing
Data Engineering & Architecture
• Design and build batch and real-time ETL/ELT pipelines
• Work with structured, semi-structured, and unstructured data at scale
• Optimize data pipelines for performance, cost, and reliability
• Implement data quality checks, monitoring, logging, and alerting
• Ensure data consistency, lineage, and governance across systems
Databases & Storage
• Hands-on experience working with relational DBMS and NoSQL databases, including schema design, query optimization, and large-scale data processing
• Design and manage data warehouses and data lakes
• Optimize storage strategies for analytics and reporting use cases
Cloud & Platform
• Architect and implement data solutions on any cloud (AWS / GCP / Azure)
• Work with cloud-native data services.
• knowledge of Building CI/CD pipelines for data workflows
• Ensure security, access control, and compliance best practices
Ads & Marketing Data (Good to Have)
• Integrate and manage data pipelines from Ads platforms, including:
• Meta (Facebook) Ads
• TikTok Ads
• Google Campaign Manager (CM360 / GCM)
• Google Ads, DV360, or similar platforms
• Understand marketing metrics such as impressions, clicks, conversions, ROAS, and attribution
• Build analytics-ready datasets for marketing, growth, and performance teams
Collaboration & Stakeholder Management
• Partner with Product, Analytics, Marketing, and Business teams
• Translate business requirements into scalable data solutions
• Support BI, reporting, and machine learning initiatives with clean, reliable datasets
Required Skills & Qualifications
Must Have
9+ years of relevant experience
• Strong programming experience in Python and Fastapi
• Solid understanding of data warehousing and data modelling techniques
• Ability to write python unit test cases.
• Experience with streaming technologies (Kafka, Pub/Sub, Kinesis – preferred)
• Strong knowledge of cloud-based data architectures
• Experience leading, mentoring, or managing data engineering teams
• Deep understanding of data quality, governance, and best practices
Nice to Have
• Exposure to machine learning data pipelines
• Background in AdTech, MarTech, FinTech, or high-scale platforms
• Familiarity with event tracking, attribution models, and API-based data ingestion
Leadership & Soft Skills
• Strong ownership and problem-solving mindset
• Excellent communication skills with both technical and non-technical stakeholders
• Ability to lead projects end-to-end in fast-paced environments
• Passion for mentoring and growing high-performing teams