DIRECTOR OF DATA ENGINEERING SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: October 4, 2024 - The Director of Data Engineering exhibits a robust passion for technology, fostering a strong sense of ownership and teamwork in high-velocity environments. Equipped with exceptional communication skills, strategic business insight, and a relentless drive to achieve results, adept at guiding complex tech solutions from conception through to execution. Demonstrates detail-oriented and organized problem-solving abilities, with advanced coding skills in Python and practical experience in machine learning, enhancing vendor relations and system integrations.

Essential Hard and Soft Skills for a Standout Director of Data Engineering Resume
  • Data Architecture
  • Machine Learning
  • Python Programming
  • SQL Database Management
  • Big Data Technologies
  • Cloud Computing
  • ETL Processes
  • API Integration
  • Data Security Practices
  • Performance Tuning
  • Strategic Thinking
  • Effective Communication
  • Leadership
  • Problem Solving
  • Adaptability
  • Team Collaboration
  • Project Management
  • Attention to Detail
  • Decision Making
  • Conflict Resolution

Summary of Director of Data Engineering Knowledge and Qualifications on Resume

1. BS in Computer Science with 8 Years of Experience

  • Passionate about technology, sense of ownership with good team spirit under fast paced working environment
  • Excellent written and verbal communication skills (English), strong business acumen, and an innate drive to deliver results
  • Strong interpersonal skills and the ability to communicate complex technology solutions to senior leadership, gain alignment, and drive progress
  • Ability to take a project from scoping requirements through actual launch of the project
  • Attention to detail, organization, problem solving, and multitasking skills
  • Proactive attitude and willingness to dig deep to achieve goals
  • Coding proficiency in at least one modern programming language, Python
  • Practical experience with a range of ML technologies
  • Experience with 3rd party vendor relationships and integrations 

2. BS in Data Science with 10 Years of Experience

  • Strong engineering and technology background with the ability to learn quickly and go deep into product and engineering solutions
  • Proven collaborator with senior leaders, peers, and staff
  • Have the competencies to build very strong partnerships with other technology leaders that enable the team's ability to stay on the leading edge of industry solutions
  • Experience managing software or data engineering teams
  • Experience with Big Data and data streaming
  • Experience with cloud-based data platforms
  • Experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools
  • Experience in data engineering and AWS
  • Experience managing software and data engineering teams
  • Must have excellent communication skills with engineers as well as business and finance team members

3. BS in Information Systems with 9 Years of Experience

  • Tech Leadership experience
  • Demonstrable experience in building, shaping and leading a cross functional Engineering function or business unit at scale (50+ people)
  • Deep understanding of technology, with a proven track record of designing and building data and machine learning platform at scale
  • Highly familiar with the current best in class big data technologies such as data warehouses, data lakes, data processing pipelines, machine learning platforms for training, building, testing and deploying ML models.
  • Familiarity with at least one public cloud technologies and best ways to leverage them for processing data and ML at scale.
  • Proven ability to contribute to system design, architecture, and problem solving conversations. Ability to get deep into technical details 
  • Able to provide technical direction to the teams (driving tech strategy, making build v buy decisions, prioritising, etc.)
  • Able to work with counterparts in other organizations, including Senior Architects and Fellows
  • Demonstrable experience working in Agile environments and more importantly an Agile culture and ethos
  • Demonstrable experience in setting, leading and influencing both the Engineering and Business strategy to the medium and long-term
  • Experience with managing and coaching teams of senior tech leaders including building and growing teams

4. BS in Software Engineering with 8 Years of Experience

  • Experience in the engineering and maintenance or related professional area
  • Management experience in building and leading data engineering teams
  • Ability to partner and translate high-level business objectives into actions
  • Skilled at running cross-functional relationships and communicating with leadership across multiple organizations including managing and providing decision matrix on the use of various cloud technologies
  • Experience in delivering data engineering solutions: Ingestion, Curation, Modeling, Persistence, Computation, and Delivery.
  • Hands-on experience in building data engineering solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop
  • Strong understanding of AdTech platform, performance media and data monetization
  • Excellent communications skills, with the ability to synthesize, simplify, and explain complex problems to different audiences
  • Experience with Snowflakes, Azure Databricks, Graph QL and Graph databases
  • Strong commercial acumen

5. BA in Machine Learning with 7 Years of Experience

  • Experience in working in a technology management/lead role
  • Software engineering experience, designing, building and maintaining production systems
  • Experience in building diverse, empowered teams, and developing software engineering talent at junior, intermediate, and senior levels
  • Ability to clearly translate business goals and vision into relevant actions and context
  • Must have a deep understanding of databases and schema design
  • Experience with dimensional data modeling/data warehousing
  • Experience with designing and implementing processes to measure and improve system and data quality
  • Experience creating ELT/ETL systems, whether from published APIs, loading from files, or creating web scrapers
  • Fluent with Agile processes and tools such as Jira or Pivotal Tracker
  • Must have experience running Agile teams, continuous integration, automated testing, and test driven development
  • Very strong abilities at project estimation, understanding team velocity/dev capacity, and progress tracking
  • Ability to interact with all levels of the organization, and across various teams