Director of Data Engineering Outpost

Karachi - Pakistan

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Location: Remote

Working Hours: US East Coast hours (typically 9:00 AM to 5:00 PM Eastern Time)

About the Company

A fast-growing mission-driven organization partnering with clients to explore design and implement AI strategies that are secure scalable and human-centered. We believe AI should amplify human potential not replace itand we build with that conviction in every engagement. From advisory and tooling to implementation and education we meet clients where they are and help them integrate AI in ways that align with their mission and values.

Our team is composed of doers and leaders who roll up their sleeves work collaboratively and value feedback and excellence over titles. We thrive on creativity accountability and delivering outcomes that are both beautiful and practical. At Human Agency we lead with purpose love and adventuredoing meaningful work with people we care about and making the journey one worth taking.

Position Overview

We are seeking an experienced Director of Data Engineering to stabilize and grow modern data platforms and lead AI-enabled outcomes across multiple client engagements. You will rotate across projectssometimes coordinating a clients data function to ensure continuity and accelerate delivery and other times leading hands-on engineering reliability work or AI implementation. This role combines technical leadership with consulting excellence pairing deep data expertise with clear executive communication.

Key Responsibilities

Engagement Leadership

Coordinate across data engineering analytics and data science leads to manage priorities releases and delivery rhythms.
Map ownership and dependencies reduce single points of failure and maintain service catalogs and decision logs.
Lead transition planning and knowledge transfer with internal teams and vendors while sustaining delivery.

Platform & Pipeline Ownership

Build operate and optimize ELT/ETL pipelines across batch and streaming sources.
Manage orchestration (Airflow) transformations (dbt or equivalent) environments and CI/CD for analytics code.
Optimize warehouse performance (e.g. Snowflake) and cost efficiency.
Rapidly assess and stabilize existing pipelines data contracts dependencies and SLAs/SLOs.

Data Reliability & Governance

Implement monitoring alerting data quality checks and SLO-based reliability practices.
Maintain lineage visibility metadata management and access controls.
Participate in incident response rotations and maintain runbooks postmortems and change management documentation.

Analytics Enablement

Partner with analysts and business stakeholders to deliver trusted datasets and semantic models.
Support BI tools (Looker Power BI Tableau) and maintain documented versioned data sources of truth.

Client Collaboration & Consulting

Translate business needs into technical data solutions and actionable options with clear trade-offs.
Facilitate discovery and alignment sessions managing scope risks and stakeholder expectations.
Prepare concise executive-ready updates metrics and recommendations.

Documentation & Communication

Produce clear technical documentation decision logs and release notes.
Communicate technical trade-offs effectively to non-technical stakeholders.
Establish lightweight governance frameworks for data quality access lineage and version control.
Lead structured knowledge transfer sessions and create handover materials.

Qualifications

Required

7 years of experience in data engineering or analytics engineering with ownership of production pipelines and BI at scale.
Proven success stabilizing and maintaining production data platforms and critical pipelines.
Expertise in modern data platforms (e.g. Snowflake) orchestration (Airflow) and transformation frameworks (dbt or equivalent).
Strong skills in ELT/ETL design APIs SQL optimization and cloud data storage.
Hands-on experience with data reliability observability lineage and testing.
Demonstrated ability to operate effectively in ambiguous or partially documented environments.
Excellent written and verbal communication with experience presenting to clients or executives.

Preferred

Interest or experience in Generative AI and Machine Learning.
Basic Python scripting skills for data and LLM workflows.
Practical experience building end-to-end AI workflows (e.g. RAG pipelines retrieval and evaluation).
Understanding of LLM behavior tuning and performance optimization.
Familiarity with BI tools semantic layer design and vector databases.
Experience with MLOps concepts for LLMs including versioning evaluation and monitoring.
Awareness of data security governance and access management best practices.

Mindset & Traits

Systems thinker with strong analytical and problem-solving abilities.
Clear communicator who can balance technical precision with strategic context.
Adaptable collaborative and driven to build scalable reliable data systems.

Location: RemoteWorking Hours: US East Coast hours (typically 9:00 AM to 5:00 PM Eastern Time) About the CompanyA fast-growing mission-driven organization partnering with clients to explore design and implement AI strategies that are secure scalable and human-centered. We believe AI should amplify h...