Lead Data Engineer

Title: Lead Data EngineerLocation: Marietta, GA on site 2 to 3 days per week.Compensation: $160K - $180KWork Requirements: , Holders or Authorized to Work in the US Qualified candidates may send a copy of their resume (Word Format) to Harold Miller at Job Description: SummaryThe Lead Data Engineer is responsible for managing and organizing the company's enterprise data and overseeing the technical output of a team of data engineers. They will architect and design data pipelines and dictate how information should be managed, consolidated, and stored for optimal use by the organization. Lead Data Engineers will support other Data Engineers, Data Architects, and Data Analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They will drive standardization and reduce effort through automation.Essential DutiesLead a team of engineers through architecture, design, demand delivery, code reviews, release management, implementation, presentations, and meetings.Mentor fellow data engineers and contribute to ongoing process improvements for the team.Evaluate business needs and objectives and align architecture/designs with business requirementsBuild the data pipelines required for the optimal extraction, transformation, integration, and loading of raw data from a wide variety of data sourcesAssemble large, complex data sets and model our data in a way that meets functional / non-functional business requirementsCreate data tools for analytics team members that assist them in generating innovative industry insights that provide our business a competitive advantageImplement data tagging mechanisms and metadata management so data is accurately classified and visible to the organizationBuild processes to help identify and improve data quality, consistency, and effectivenessEnsure our data is managed in a way that conforms to all information privacy and protection policiesUse agile software development processes to iteratively make improvements to our data management systemsIdentify opportunities for automationBe an advocate for best practices and continued learning Skillset / Experience:RequirementsBachelor's/Tech School degree in Computer Science, MIS, or Engineering or relevant technical field and/or commensurate years of real-world experience in software engineering.7+ years of relevant experience in data management5+ years in data engineering with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT3+ years of experience with Cloud based DW such as Redshift, Snowflake, etc.Technical expertise with data models, data mining, and segmentation techniquesExperience in data acquisition, transformation, and storage design using design principles, patterns, and best practicesExperience with performance analysis and optimizationExperience with relational SQL and NoSQL databases, including Postgres and CassandraExperience with data pipeline and workflow management toolsExperience with AWS cloud services: EC2, EMR, RDS, Redshift, Modern data platforms, Snowflake, dbt, Fivetran, and Airflow.Experience with stream-processing systems: Kafka, Storm, Spark-Streaming, etc. Data engineering certification is a plus.#IND-DEV