Job Description
Description:
Hybrid in Bedford, MA: 3 days onsite / 2 days remote
An Airforce Client is actively seeking a Senior Data Architect II who can apply a wide set of statistical, programming and/or engineering disciplines for planning, design, analysis, and specification development for systems and databases to support the end user analysis process for the Kessel Run program. This also includes optimizing databases, developing ETL solutions, and managing automatized data flow. Actively work with stakeholders to understand their needs, designing and implementing data models, and developing and maintaining data pipelines. The Data Architect will also be responsible for ensuring the security and compliance of the data architecture.
Familiarity with the manipulation of unstructured data in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data visualization as applicable. The ability to use/code in a applicable to the project or task order such as Apache Hadoop, Python, and advanced knowledge of machine learning.
Due to federal security clearance requirements, applicant must be a United States or Permanent with ability to obtain a Secret clearance.
Rate: $100 - $110 / hr. w2
Responsibilities:
1. Support the Chief Data Officer in establishing a modern data management initiative across the enterprise.
2. Work with stakeholders to understand their data needs - researches and provides solutions to meet future growth or to eliminate occurring or potential limiting factors that could negatively impact the Kessel Run portfolio, and to identify technical solutions that could aid in the efficiency and/or cohesiveness of the broader engineering teams and Kessel Run portfolio.
3. Work with R&D, PLs and PMs in order to determine needs for new software, platforms and applications Provide support, communication, instruction and pairing as necessary for any new solutions identified.
4. Collaborate with other teams on issue resolution impacting KREL Research and promote new frameworks Understand business needs, requirements and current processes and helps to transform those needs into technical solutions.
5. Actively involved in cross organization discussions on roadmap Anticipate and plan for future needs Examples: Auditing Logging Data warehouse Proactively and reactively identify, research and provide solutions for areas of potential or emerging concerns directly or as part of a larger cross organizational team.
6. Review and analyze existing stacks and technologies for relevance and fit for need ensuring that the right technology is being used to address engineering needs Provide technical evaluation on future technology stacks Example Crunchy vs SQL Python vs java.
7. Provide guidance on software engineering practices definition, communication and advocacy - Example Identify best practices for API management.
8. Research, deliver, test, communicate, pair as needed Provide advocacy and evangelizing for new solutions delivered or identified by the Architecture Team Example: SSO integration into KR portfolio applications.
9. Provide technical input for cross organization and platform services Example GIS SSO Serve as technical evangelist for new architecture team solutions.
10. Lead a team of engineers to deliver high-quality solutions.
Experience Requirements:
1. 15+ Total years of IT/Data experience.
2. 10+ years of experience in data architecture.
Desired Skills:
1. Familiarity with modern data concepts such as data lakehouse, data mesh, and data fabric and traditional data technologies such as databases and data warehouse.
2. Familiarity with the manipulation of unstructured data in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data visualization as applicable.
3. The ability to use/code in a applicable to the project or task order such as Apache Hadoop, Python, and advanced knowledge of machine learning.
4. Experience with data modeling, data warehousing, and data analytics.
5. Experience in designing strategies for migrating data from on-prem to AWS cloud databases.
6. Experience in machine learning, modeling, and architecting data flows between systems.
7. Experience in capture of data linkages, and to create and manage conceptual, logical, and physical data models.
8. Review and recommend data architecture components to assist with data catalogs, data governance, data pipelines, and storage.
9. Experience in implementing data pipelines using ETL and ELT technologies such as Apache Kafka and Apache Nifi.
10. Experienced in data architecture and management tools such as ER/Studio, Alation, and DataHub.
Education Requirements:
1. Must have a Bachelor's degree in computer science, information systems, or a related field.
2. Data Architect certifications such as CDMP, etc., are a plus but not needed.
3. AWS Cloud certifications are a plus but not needed (Nice to have).
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for benefits.
About Eliassen Group:
Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions.
Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to protected veteran status, or status.
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