Director of Engineering at ACCUDATA

Kirkland, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Apr, 26

Salary

0.0

Posted On

07 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Cloud Data Warehousing, Distributed Computing, Data Orchestration, Machine Learning Ops, Cloud Architecture, Data Governance, Technical Leadership, Team Management, AI/ML Integration, ETL/ELT Pipelines, Identity Resolution, Containerization, CI/CD Pipelines, Communication Skills

Industry

Advertising Services

Description

Description Deep Sync is the industry leader in deterministic identity and AI-powered data solutions. Leveraging our 35-year foundation of compiling direct mail-grade datasets, Deep Sync develops data-first technologies that power marketing, measurement, AI, and business intelligence for agencies and brands with our fully deterministic identity graph, privacy-first audiences, comprehensive data solutions, and integrations with leading platforms and cloud providers. Position Overview Deep Sync is seeking a technical, hands-on Director of Engineering to lead our combined Data Science and Data Engineering teams. In this "player-coach" role, you will be responsible for architecting and scaling the infrastructure that powers our deterministic identity graph while simultaneously driving the development of next-generation AI/ML models. You will bridge the gap between complex data pipelines and advanced analytics, ensuring our data is not only accessible and reliable but also actionable. We need a leader who is comfortable code-reviewing Python scripts one hour, and presenting a strategic roadmap to executive leadership the next. Essential Skills Core Tech Stack: Expert-level proficiency in Python and SQL. Big Data Infrastructure: Deep experience with cloud data warehousing (Snowflake, BigQuery, or Redshift) and distributed computing (Spark, Databricks). Data Orchestration: Proficiency with workflow management tools (Airflow, Prefect, or Dagster). Machine Learning Ops: Experience deploying ML models into production environments and managing the MLOps lifecycle. Cloud Architecture: Hands-on experience with AWS (S3, EC2, Lambda, Glue) or equivalent GCP/Azure services. Key Responsibilities Technical Leadership & Strategy: Define the technical vision and roadmap for the data ecosystem, ensuring alignment with product goals and business requirements. Hands-on Contribution: Actively contribute to the codebase, perform code reviews, and drive architectural decisions. You will serve as the technical anchor for the team. Team Management: Manage, mentor, and grow a cross-functional team of Data Engineers and Data Scientists. Foster a culture of technical excellence, accountability, and collaboration. Pipeline Architecture: oversee the design and maintenance of scalable ETL/ELT pipelines to ingest, clean, and transform massive datasets (Direct Mail, Identity, Behavioral). AI/ML Integration: collaborate with Data Scientists to productize predictive models and AI-driven features, ensuring they are integrated seamlessly into the core platform. Data Governance: Champion data quality, privacy (GDPR/CCPA compliance), and security standards across the organization. Requirements 10+ years of total experience in software engineering, data engineering, or data science. 4+ years of experience in a leadership or management role (Lead, Manager, or Director level). Ad-Tech/Mar-Tech Experience: Prior experience with identity graphs, audience segmentation, or DMP/CDP platforms is a bonus. Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. Competencies: Proven ability to balance hands-on coding with management duties. Strong understanding of Identity Resolution (probabilistic vs. deterministic matching). Experience with containerization (Docker, Kubernetes) and CI/CD pipelines. Excellent communication skills, with the ability to translate complex technical concepts to non-technical stakeholders. Location: Kirkland, WA (hybrid) Benefits Flexible Time Off and Paid Holidays Medical/Vision/Dental Insurance, Voluntary Life & AD&D Insurance, Short-Term & Long-Term Disability, Critical Illness & Accident Insurance 401(k) with employer matching Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Equal Employment Opportunity: Deep Sync provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Human Resources | recruiting@deepsync.com

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Responsibilities

The Director of Engineering will define the technical vision and roadmap for the data ecosystem while actively contributing to the codebase and driving architectural decisions. They will manage and mentor a cross-functional team, ensuring the integration of AI/ML models into the core platform.