Database Engineering Lead

We are seeking a Database Engineering Lead to work collaboratively with agile development teams in the design, development, and deployment of advanced cybersecurity capabilities.

Responsibilities Include:
- Using database expertise to lead teams with diverse skill sets (e.g. data architects, data scientists, software developers) in support of a large, agile-based, cybersecurity system
- Working with large structured and unstructured data sets
- Implementing data management systems from conception, through all stages of design, development, and deployment in a CI/CD agile environment
- Design, setup, administer, and tune NoSQL databases in the AWS cloud
- Design and implement the technical architecture necessary to support analytic and statistical processing requirements based on tradeoff between performance and quality
- Performing data transformations such as aggregations, joins, and data cleaning to support analytic applications and visualizations
- Write and refine code to ensure quality and reliability of data extraction and processing
- Analyze and resolve data performance and quality issues
- Make data available to data scientists, programmers, and other users using programming and scripting languages such as R, Python, Java, JavaScript, etc.
- Perform data analysis and design, data modeling, business intelligence management, master data management, metadata management, data quality management, data security, auditing and other functions of data management and governance
- Generate data estimates of work to be performed, compare estimates to actuals, and continue to refine estimates
- Work collaboratively with agile development teams, attending daily scrums and providing data related solutions to development team
- Develop and maintain database code libraries, data models, SOPs, and other documentation in the team collaboration environment
- Migrate data from legacy RDBMSs and other data sources to NoSQL database in the AWS cloud using complex ETL processes, tools, and programming languages
- Maintain current industry knowledge of relevant concepts, practices and procedures

Required Skills:
- U.S. Citizenship
- Must have an active Top Secret (TS) clearance. Must be able to obtain a TS/SCI clearance
- 10+ years of relevant database experience
- Demonstrated ability to lead teams with diverse skill sets (e.g. data architects, data scientists, software developers)
- Demonstrated experience mentoring junior to mid-level data professionals
- Able to effectively work as a leader, in a group, or as an individual contributor
- Excellent understanding of big data and data analytics
- Experience working with large structured and unstructured data sets
- Development experience building ETL pipelines at scale
- Solid SQL development skills
- Experience with Linux/Unix tools and shell scripts
- Expertise in data analysis and design, data modeling, master data management, metadata management, data warehousing, performance tuning, data quality improvement, data security, auditing and encryption
- Good communication skills, both oral and written
- Must work well in a team environment as well as independently
- Must exhibit good time management skills, independent decision making capability, and a focus on customer service.

Desired Skills:
- Experience providing database engineering support 
- Understanding of Certification and Accreditation (ICD 503/DCID 6/3) processes as they apply to database technologies
- Ability to support both SQL and NoSQL data management systems
- Expertise in other RDBMS platforms such as Oracle RAC and SQL Server
- Familiarity with AWS data migration tools such as AWS DMS, Amazon EMR, and AWS Data Pipeline
- Experience with data transformation techniques such as aggregations, joins, and data cleaning
- Experience with Red Hat Enterprise Linux (RHEL) operating system, storage configurations, network architecture, VMware, and/or related management tools
- Database management experience of SQL databases such as MySQL and PostgreSQL in AWS cloud
- Experience creating and managing NoSQL databases such as DynamoDB in the AWS cloud
- Object mapping and migration of data from legacy structured and unstructured data sources to Amazon DynamoDB using AWS tools, custom code, or ETL scripts
- Programming experience with languages such as R, Python, Java, JavaScript, JSON, etc.
- Knowledge of Hadoop ecosystem, Map/Reduce, and data management products including Hbase, Hive, and Pig
- DevSecOps and Continuous Integration / Continuous Delivery (CI/CD) knowledge
- Experience or training in Six Sigma Methodology
- ITIL knowledge and certification
- Familiarity with SAFe (Scaled Agile Framework).

Required Education:
BS Computer Science, Computer Engineering, Computer Information Systems, OR Computer Systems Engineering. Two years of related work experience may be substituted for each year of degree level education