---
title: 'Senior Data Engineer at Darkroom'
canonical: 'https://feeny.ai/job/senior-data-engineer-darkroom-pakistan-e934kfmzv06g'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Data Engineer at Darkroom

- **Company:** Darkroom
- **Location:** Pakistan
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-06-05
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/darkroom/f2061358-b183-4bf3-bf26-ff6d05a24217

## Job description

## WHAT WE'RE BUILDING

We're empowering small teams with technology that makes it easier to market and grow businesses. Our current focus is to help consumer brands shift from "workflow automation" to "agent management" within their marketing operations. Shadow is the AI coordination layer — providing shared AI memory, centralized agent control, and model orchestration for marketing teams.

WHY JOIN SHADOW?

- Product Ownership You'll ship production code daily and help steer key product and technical decisions.
- Shape the Engineering Culture You'll influence how we work—tools, processes, standards, and hiring.
- Work with Challenger Consumer Brands Talk directly to customers (CEOs, CMOs, VP's) of fast-growing consumer brands—some doing $80M–$500M in revenue.

## THE AGENCY BEHIND THE PRODUCT

Shadow is built alongside Darkroom — a performance marketing agency that's been operating for 10 years, employs 100+ people, runs 100+ clients at a time, and has worked with over 1,000 consumer brands. The agency is both our proving ground and our first user, which means the data you build with is real marketing data at real volume from day one — not a synthetic demo.

This is a fully remote role supporting a team in the EST time zone (9 AM–5 PM EST).

## THE ROLE

You own the pipelines that bring the world's marketing data into Shadow — and keep them fast, accurate, and reliable as we scale to thousands of users. Every brand connects its full stack (ad platforms, ecommerce, analytics, email/SMS), and you make that data land cleanly, normalize into shared schemas, and stay in sync. The agent is only as good as the data underneath it; that layer is yours.

This is a hands-on, build-heavy engineering role for someone who has run large data systems before and wants to do it again in a smaller, faster environment.

## WHAT YOU'LL OWN

- Build and scale the ingestion layer across third-party marketing APIs (Meta, Google, TikTok, GA4, Shopify, Klaviyo, and more) — auth, extraction, rate-limit handling, backfill, and incremental sync.
- Design normalization and transformation pipelines that map messy, platform-specific data into shared, queryable schemas (e.g. a unified creative/campaign/order model).
- Own data reliability at scale — sync accuracy, freshness, coverage, and observability. Build the systems that detect when a connection breaks or a number looks wrong before a user does.
- Engineer for multi-tenant scale and security: pipelines and storage that stay performant and cost-efficient across 1,000+ users and hundreds of connected brands — with strict data isolation, privacy, and compliance built in, not bolted on.
- Partner with the AI and data-science teams to expose clean, well-modeled data the agent can retrieve and reason over.

## MUST HAVES

- Experience building and operating large enterprise data pipelines engineered for scale — systems serving 1,000+ users (or equivalent data volume / tenancy), where reliability, isolation, and cost at scale were real constraints you solved.
- Strong SQL and Python, with production experience in a modern data warehouse (BigQuery, Snowflake, Redshift, or similar).
- Deep familiarity with ETL/ELT patterns, incremental sync, schema design, and data modeling for analytics.
- Built and maintained integrations against third-party APIs — OAuth flows, pagination, rate limits, schema drift, and the operational reality of connectors that break.
- A bias toward observability and data quality: you instrument your pipelines and you don't ship data you can't trust.
- Experience building or operating within SOC 2-compliant systems with enterprise-grade security and privacy — you've handled sensitive customer data under real compliance constraints (access controls, encryption, data isolation, auditability) and treat it as a first-class engineering requirement.

## NICE TO HAVES

- Experience in martech, adtech, or an adjacent data-heavy marketing domain — you've worked with ad platform or ecommerce data before and know where the bodies are buried (attribution windows, currency/timezone messes, deduping across platforms).
- Familiarity with our stack: GCP (BigQuery, Cloud Run), PostgreSQL + pgvector, and orchestration/transformation tooling (dbt, Airflow, Dagster, or similar).
- Experience with pipeline observability and tracing in an AI/LLM context (e.g. Langfuse).
- Comfort supporting data that feeds AI agents and retrieval systems, not just dashboards.

## CULTURE FIT

- Obsessive about data organization at scale. We're hiring for someone who lives in the data layer and wants to own it end to end.
- You’re a power AI user. You've embedded AI into every workflow you touch and you think in systems — not one-off prompts, but repeatable structures that compound.
- Entrepreneurial. You don't need much direction to move fast, you pivot when the situation demands it, and what you ship is production-grade, not a prototype you hand off for someone else to finish.

## WHAT WE OFFER

- Unlimited PTO + Local holidays (Relevant to your hub): Rebooting is part of the work. Take the time you need to stay sharp.
- Remote-First Culture: Many roles are fully remote. Employees based in or near our New York or Lisbon HQs are expected to work hybrid with weekly in-office time. Hub locations include Brazil and Spain.
- Parental Leave: Flexible parental leave to support new parents during this important transition.
- Growth: Our interdisciplinary model gives every employee exposure far beyond their core role. Grow your skills, expand your influence, and stay at the forefront of the industry.

## EQUAL OPPORTUNITY STATEMENT

We are an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

## About Darkroom

## Company Overview
- **One-liner**: Darkroom is a full-service digital growth marketing agency that combines human expertise with a proprietary AI commerce layer (Shadow) to drive measurable revenue for consumer brands across paid media, e-commerce marketplaces, and social commerce.
- **Entity Type**: Private (Privately Held)
- **Headquarters**: New York, New York, United States
- **Founded**: 2017
- **Founders**: Lucas DiPietrantonio (CEO) and Peter Gao (Managing Director, Social Commerce) – both recognized on Forbes 30 Under 30 for their contributions to marketing & advertising [darkroomagency.com/about](https://www.darkroomagency.com/about)

## Core Business
- **Primary Industry**: Advertising Services / Digital Marketing
- **Target Customers**: Growth-stage consumer brands (B2C) – mid-market to enterprise, including DTC, e-commerce marketplace, and social commerce companies.
- **Mission**: “The growth marketing agency built for the AI Era” – focused on delivering trackable revenue growth through a blend of senior human talent and an agentic AI technology stack [darkroomagency.com](https://www.darkroomagency.com/)

## Products & Services
Darkroom’s services are organized under five core verticals, each supported by their AI platform Shadow:

- **Paid Media Management**: Full-funnel strategies across paid social, connected TV, paid search, programmatic, retail media, and mobile. Manages over $250M in media spend.
- **Performance Creative**: Short-form video, UGC, AI-generated ads, static design, and motion graphics – treated as the primary growth lever.
- **E-Commerce Marketplace Management**: Amazon and TikTok Shop management including strategy, advertising, creative, inventory, and SEO.
- **Retention Marketing**: Email, SMS, and lifecycle campaigns to maximize customer lifetime value.
- **AI Marketing (Shadow)**: A universal commerce layer that powers AI search (SEO, GEO, AI search ads), agentic commerce, sentiment analysis, and content creation – deeply embedded into every client team.
- **Supporting Offerings**: Growth strategy, conversion rate optimization, website development (Shopify), organic social management, creator program management, design studio, and financial services.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (privately held)
- **Key Metric**: The company has generated over $1B in trackable revenue for clients; manages over $250M in media across channels [linkedin.com](https://www.linkedin.com/company/darkroomagency)
- **Notable Investors/Partners**: No external investors (bootstrapped). Clients include **Olipop, TOTEME, Unilever, Amazon, Everlane, Adobe, Sauz, VYBES, Verb Energy**.
- **Growth Signals**:
  - Named to the **Inc. 5000** list of fastest-growing private companies in America.
  - Employee headcount: **96** (+35.2% YoY) with hubs in **New York, Lisbon, São Paulo, and Barcelona**.
  - Operates across **17 countries** with a global team.
  - Active job postings: **28** (though trending down recently) [linkedin.com](https://www.linkedin.com/company/darkroomagency)

## Competitive Advantages
- **First AI-native agency**: Shadow is built into every team and workflow, giving clients an integrated human-AI marketing team.
- **Top-heavy, senior-first model**: Leadership and senior talent are directly involved in client accounts, ensuring strategic depth.
- **Design-grade creative**: One of the few performance agencies with a Chief Creative Officer and in-house design studio, infusing brand-quality creative into performance marketing.
- **Omni-channel integration**: Manages all major commerce channels (Amazon, TikTok Shop, DTC, Retail) as one unified program.
- **Proven track record**: Billions in client revenue and hundreds of millions in media under management provide proprietary data and insights.

## Strategic Focus
- **Scaling the AI platform**: Shadow is being positioned as a universal commerce layer, with investments in agentic commerce, AI search, and automated workflows.
- **Global hub expansion**: Growing teams in Lisbon, São Paulo, and Barcelona to access diverse talent and support a 24/5 operational model.
- **Deep vertical specialization**: Continuing to concentrate on high-growth consumer verticals (CPG, fashion, beauty, health/wellness) rather than expanding horizontally.
- **Productization of services**: Blending services with technology to offer retainer-based and outcome-based partnerships.

## Why Work Here
- **Culture**: “Built for the AI future” – employees are expected to work alongside AI tools daily; strong emphasis on output, innovation, and continuous learning.
- **Work policy**: Remote-first with physical hubs in New York, Lisbon, São Paulo, and Barcelona. All employees operate on EST time and gather for team meetups and annual company events.
- **Perks**: Unlimited PTO (with a minimum of 14 days plus holidays), 401k with company match, medical/dental/vision for US employees, performance bonuses, and clear internal promotion paths based on results.
- **Engineering focus**: The Full Stack Engineer role (Shadow) offers $170K–$200K salary, indicating strong investment in technical talent [indeed.com](https://www.indeed.com/cmp/Darkroom-3).
- **Talent base**: High-caliber peers from top agencies (VaynerMedia, Wpromote, Hawke Media) and companies (Accenture, Google).

## Sources
1. [darkroomagency.com](https://www.darkroomagency.com/)
2. [darkroomagency.com/careers](https://www.darkroomagency.com/careers)
3. [darkroomagency.com/about](https://www.darkroomagency.com/about)
4. [linkedin.com/company/darkroomagency](https://www.linkedin.com/company/darkroomagency)
5. [indeed.com/cmp/Darkroom-3](https://www.indeed.com/cmp/Darkroom-3)

## Other roles at Darkroom

- [Director, Paid Media](https://feeny.ai/job/director-paid-media-darkroom-new-york-cg2cqr4sb81s) — New York, NY
- [Creator Manager, TikTok Shop](https://feeny.ai/job/creator-manager-tiktok-shop-darkroom-brazil-0f38nk0h600w) — Brazil
- [Creator Manager, UGC & Affiliate](https://feeny.ai/job/creator-manager-ugc-affiliate-darkroom-brazil-ev8y64kd2dpp) — Brazil
- [Associate Director, Retention](https://feeny.ai/job/associate-director-retention-darkroom-brazil-30442zdnsv98) — Brazil
- [Director, Creative Strategy](https://feeny.ai/job/director-creative-strategy-darkroom-new-york-58my8q6pvn71) — New York, NY
- [Recruiter](https://feeny.ai/job/recruiter-darkroom-brazil-gx7yfsg55eg3) — Brazil
- [Lead Account Executive, Commerce Growth](https://feeny.ai/job/lead-account-executive-commerce-growth-darkroom-new-york-fjqd1z7y5t5s) — New York, NY
- [Senior Paid Search Specialist](https://feeny.ai/job/senior-paid-search-specialist-darkroom-brazil-jjnv76nv9syw) — Brazil
- [Associate Director, Creative Strategy (Paid)](https://feeny.ai/job/associate-director-creative-strategy-paid-darkroom-new-york-t0mpc28m38b2) — New York, NY
- [Video Editor](https://feeny.ai/job/video-editor-darkroom-brazil-hw1g7w1h60s9) — Brazil