Director of Data Engineering

March 28

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PeakMetrics

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PeakMetrics is a platform that empowers organizations to proactively identify and respond to harmful online narratives that can threaten their brand reputation and financial stability. Utilizing an AI-driven approach, PeakMetrics analyzes a wide range of data sources including fringe platforms like TikTok and Discord to uncover the dynamics of narrative threats. Their services include threat identification, narrative summarization, access to expert analysis, and tools designed to help organizations navigate complex online discussions effectively.

11 - 50 employees

Founded 2017

🔒 Cybersecurity

🤖 Artificial Intelligence

🤝 B2B

📋 Description

Develop and execute the long-term vision for the organization’s data engineering and DevOps strategies•Collaborate with senior leadership to prioritize initiatives, set objectives, and define measurable outcomes•Stay ahead of industry trends, tools, and technologies to ensure competitive advantage and efficiency•Build, mentor, and lead a diverse team of data engineers and DevOps professionals•Foster a culture of innovation, accountability, and collaboration within the team•Establish best practices for performance management, career development, and skills growth•Oversee the design, development, and maintenance of scalable data pipelines, warehouses, and processing frameworks•Build the infrastructure and codebase required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies•Drive the implementation of best practices in data governance, quality, and security•Ensure the availability, reliability, and performance of data systems•Lead the adoption of modern DevOps methodologies to streamline CI/CD pipelines and deployment processes•Ensure robust monitoring, logging, and alerting systems are in place for all applications and data infrastructure•Partner with cross-functional teams, including product, analytics, and engineering, to understand and deliver on business needs•Present project updates, performance metrics, and strategic initiatives to leadership

🎯 Requirements

13+ years of experience in engineering, with at least 5+ years in data engineering, data ops, or related roles•Proven experience in designing and implementing data architectures, ETL processes, and DevOps pipelines•Expertise in cloud platforms (AWS, Azure, or GCP) and cloud-native solutions•Strong understanding of data governance, security, and compliance standards (e.g., GDPR, HIPAA)•Proficiency in programming and scripting languages (e.g., Python, Java, Bash)•Experience with modern DevOps tools such as Kubernetes, Docker, Terraform, Jenkins, or similar•Track record of successfully managing and scaling high-performing technical teams•Experience with big data technologies (e.g., Kafka)•Familiarity with ML/AI infrastructure and frameworks•Hands-on experience with both relational and non-relational databases (e.g., SQL, NoSQL)•Certifications in cloud platforms or DevOps practices are a plus•You have maintained data management systems and have built new data pipelines from scratch•You are comfortable automating data flows with resilient code using Python•Experience with Dagster or other data orchestration platforms such as Airflow•You have strong database architecture design and management knowledge in both structured and unstructured data•Advanced knowledge of Elasticsearch or OpenSearch, including configuration, operation, and using for search•Extensive experience working with SQL, SQLAlchemy with Postgres, Athena, Parquet and Iceberg•You are able to define and communicate data architecture requirements, keeping current with data management best practices•Your clarity of thought is always apparent in your crisp and articulate emails, Slack chats, phone calls, and in-person conversations•Exceptional leadership, communication, and decision-making abilities•Strong analytical mindset with a solution-oriented approach•Ability to balance strategic vision with tactical execution

🏖️ Benefits

Remote-first culture•Health insurance, 401(k) and other benefits•Flexible work schedule and unlimited time off•Opportunities for professional growth and development•A vibrant and inclusive company culture