Head of Data Infrastructure & Engineering
EverCommerce
full-time
Posted on:
Location Type: Remote
Location: Remote • Colorado, Texas • 🇺🇸 United States
Visit company websiteSalary
💰 $190,000 - $225,000 per year
Job Level
Lead
Tech Stack
AirflowAmazon RedshiftApacheAWSAzureCassandraCloudDistributed SystemsDockerGoogle Cloud PlatformHadoopJavaKubernetesMongoDBMySQLNoSQLPostgresPythonScalaSpark
About the role
- Design and implement scalable, reliable, and efficient data infrastructure solutions to support the organization's data processing, storage, and analytics needs
- Collaborate with data engineers, software engineers, and data scientists to understand data requirements and translate them into technical specifications and architecture designs
- Develop and maintain data pipelines for ingesting, processing, and transforming large volumes of data from various sources, ensuring data quality and integrity
- Optimize data storage and retrieval processes, including database schema design, indexing strategies, and query optimization, to enhance performance and reduce latency
- Implement monitoring, alerting, and logging mechanisms to proactively identify and troubleshoot issues in the data infrastructure, ensuring high availability and reliability
- Stay updated on emerging technologies, tools, and best practices in data engineering and infrastructure management, and recommend adoption as appropriate
- Work closely with stakeholders to understand business requirements and priorities
Requirements
- Bachelor’s or Master’s degree in computer science, engineering, business analytics, data science, or related fields and experience
- 12+ years of overall experience in implementing and managing data infrastructure and platforms
- 7+ years of experience in data & analytics leadership role in managing cross functional teams that creates, engineers, builds and maintains data infrastructure and platforms
- 5+ years of strong experience in data engineering or infrastructure roles, with a focus on designing and building scalable modern data platforms (data lakes, lake houses etc.) with a deep understanding of cloud-base data platforms
- Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks such as Apache Spark, Snowflake, Apache Flink, or Hadoop
- Strong understanding of distributed systems, cloud computing platforms (e.g., AWS, GCP, Azure), and containerization technologies (e.g., Docker, Kubernetes)
- Deep experience with relational databases and data warehousing technologies (e.g., PostgreSQL, MySQL, Redshift, Snowflake) and NoSQL databases (e.g., Cassandra, MongoDB)
- Hands-on experience with data pipeline orchestration tools such as Apache Airflow, Luigi, or Prefect
- Excellent problem-solving skills and the ability to troubleshoot complex issues in a distributed environment
- Strong communication skills and the ability to collaborate effectively
- Experience with Agile methodologies and DevOps practices is a plus
- Proven ability to manage and lead team of data engineers, data ops engineers
Benefits
- Flexibility to work where/how you want within your country of employment – in-office, remote, or hybrid
- Continued investment in your professional development
- Day 1 access to a robust health and wellness benefits package, including an annual wellness stipend
- 401k with up to a 4% match and immediate vesting
- Flexible and generous (FTO) time-off
- Employee Stock Purchase Program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data infrastructuredata pipelinesdatabase schema designquery optimizationdata engineeringcloud-based data platformsprogramming languages (Python, Java, Scala)data processing frameworks (Apache Spark, Snowflake, Apache Flink, Hadoop)relational databases (PostgreSQL, MySQL, Redshift, Snowflake)NoSQL databases (Cassandra, MongoDB)
Soft skills
problem-solvingcommunicationcollaborationleadership
Certifications
Bachelor’s degreeMaster’s degree