Lead Data Engineer

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