Principal Architect

About Straive:

About Straive:

Straive is a global leader in enterprise-grade data analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit.

Our core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients topline and streamline their operations. We specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, retail, sports, entertainment and logistics, helping them build robust data analytics and AI capabilities.

With a client base spanning 30 countries, Straive's strategically located teams operate from eight countries and is headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective.

Join Straive to be part of a dynamic team at the forefront of data analytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with EQT.

Role Summary

We are looking for a Senior Individual Contributor (IC) to build and own the end-to-end

marketing data foundation for a fast-growing eCommerce business.

This role requires a hands-on Data Engineer with strong architectural expertise who can

design scalable systems, unify fragmented data sources, and enable accurate performance

marketing insights, attribution, and customer analytics.

You will play a critical role in enabling data-driven growth, campaign optimization, and

revenue measurement.

Key Responsibilities

• 1. Build eCommerce Marketing Data Foundation
• Design and implement a unified marketing data layer across:
• Paid media platforms (Google Ads, Meta, affiliates, etc.)
• Web & app analytics (clickstream, events)
• CRM, lifecycle, and customer data
• Orders, transactions, and product data
• Define consistent metrics for CAC, ROAS, LTV, conversion funnels, and attribution

2. Data Architecture & Modeling

• Architect scalable data models and aggregation layers for:
• Campaign performance
• Customer cohorts & segmentation
• Funnel and conversion analytics
• Translate ambiguous business requirements into clean, reusable data structures
• Ensure alignment between marketing, product, and finance metrics

3. Data Engineering & Pipelines

• Build and maintain robust, production-grade data pipelines (batch + near real-time)
• Implement ETL/ELT workflows for ingesting and transforming high-volume data
• Ensure data reliability, freshness, and accuracy at scale
• Optimize pipelines for performance and cost efficiency

4. Attribution & Analytics Enablement

• Develop frameworks for multi-touch attribution and incrementality measurement
• Enable self-serve analytics for marketing and growth teams
• Partner with stakeholders to define north-star metrics and reporting layers

5. Platform Reliability & Governance

• Implement data quality checks, monitoring, and alerting systems
• Ensure compliance with data privacy and governance standards
• Establish best practices for data documentation and lineage

6. Cross-functional Collaboration

• Work closely with Engineering, Growth, Marketing, Product, and Finance teams
• Act as a bridge between business requirements and technical implementation

Required Skills & Experience

Core Experience

• 8–10+ years in Data Engineering / Data Platform roles
• Proven experience building end-to-end data systems from scratch
• Strong expertise in data modeling, architecture, and pipeline design

Technical Skills

• Advanced SQL and strong programming skills (Python / Scala / Java)
• Experience with modern data stack / big data tools:
• Spark / Databricks
• Airflow or similar orchestration tools
• Data warehouses (Snowflake, BigQuery, Redshift)
• Hands-on experience with cloud platforms (AWS / GCP / Azure)

Domain Expertise (Critical)

• Experience working with eCommerce or high-scale consumer data
• Performance marketing metrics (ROAS, CAC, CPA)
• Funnel analysis and conversion tracking
• Customer lifecycle and retention metrics
• Familiarity with marketing attribution challenges in eCommerce