Job Requirements
Lexington, KY
Secret Polygraph Unspecified
Career Level not specified
$94,400 - $175,200
Job Description
Job Number 2416
Standard Job Description
Delivers full-stack data solutions across the entire data processing pipeline. This relies on systems engineering principles to design and implement solutions that span the data lifecycle to: collect, ingest, process, store, persist, access, and deliver data at scale and at speed. It includes knowledge of local, distributed, and cloud-based technologies; data virtualization and smart caching; and all security and authentication mechanisms required to protect the data.Build data pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis; Design and implement data solutions by defining functional capabilities, security, back-up, and recovery specifications; Work through all stages of a data solution lifecycle, e.g., analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics; Maintain data systems performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; Define standards, best practices, and certification processes for data objects
Pipeline Development & Maintenance • Build, test, and maintain robust data pipelines (batch & streaming) that clean, transform, and aggregate raw data into analytic ready data stores.• Implement data quality checks, smart caching, and virtualization techniques to guarantee consistency and reliability.• Build automated data management conduits that support machine learning data flows.
Data Architecture & Modeling • Collaborate with the Data Architect to create conceptual, logical, and physical data models that support business needs.• Define functional capabilities, security, backup, and recovery specifications for each solution.• Design and maintain systems that collect, store, and present data across the enterprise.
Lifecycle Management • Conduct data profiling, requirement analysis, and performance tuning throughout the solution lifecycle.• Deploy, monitor, and optimize ETL/ELT processes (e.g., Informatica, Talend) and related reporting/analytics layers.• Develop and implement data mining and data warehousing programs to enrich the enterprise data ecosystem.
Operations & Performance • Identify and resolve production incidents; tune system parameters for optimal throughput and latency.• Evaluate, integrate, and validate new releases or platform upgrades.• Manage the compilation, catalog ing, caching, distribution, and retrieval of data and maintain test data records.
Standards & Governance • Define and enforce best practice standards, certification processes, and metadata management policies for data objects.• Participate actively in the Data Governance Working Group.• Implement data management standards, requirements, and specifications and ensure compliance with data classification and handling rules through access control and security best practices.
Risk & Design Support • Assist early stage risk identification and mitigation for task order activities.• Support Critical Design Reviews (CDRs) and advise Integrated Product Teams (IPTs) on data related risks and mitigation strategies.
Cross Discipline Liaison • Serve as the technical liaison to Systems Engineering, IPT engineers, and other disciplines to ensure complete, documented requirements allocation for IT and data systems.• Prepare and release engineering drawings and associated data system documentation.
Technology Integration • Advise on and design the integration of new data technology solutions (e.g., IBM Cloud Pak for Data) into the SOFSA enterprise IT environment.• Advise higher level leadership on critical data management issues and emerging technology trends.
Basic Qualifications
Bachelor's degree in Artificial Intelligence, Computer Science, Information Systems, Data Engineering, or a related field (Master's preferred).
Data-mining and data-warehousing principles.
Database management systems, query languages, table relationships, and views.
Proficiency with Hadoop, Java, Python, SQL, Hive, and PIG for data exploration.
DataOps processes and best practices.
Data-security roles and responsibilities; ability to implement access-control and encryption safeguards.
Knowledge of how to collect, store, monitor, and validate test data.
Ability to assess methodological limitations and recommend mitigation strategies.
Desired Skills
IBM Cloud Pak for Data (CP4D) - Advanced
Oracle / Microsoft SQL Server - Advanced (schema design, performance tuning)
Microsoft Power BI Report Server - Proficient
Deltek COBRA - Working knowledge
Microsoft SharePoint - Working knowledge
SAP - Working knowledge
Teamcenter - Working knowledge
Scripting - Python, PowerShell - Basic to intermediate (data extraction, automation)
Data modeling & metadata management tools - Advanced
ETL/ELT design (Informatica, Talend) - Preferred
Cloud & distributed data platforms (AWS, Azure, GCP) - Preferred
Experience with creation of Analytical Databases - Preferred
Additional scripting - PERL, VBS (Windows/UNIX) - Basic
Hadoop, Java, Hive, PIG (for data exploration) - Familiarity
Relevant certifications (e.g., IBM Certified Data Engineer, TOGAF, Certified Data Management Professional, Security+) are a plus.
Pay Information
Full-Time Salary Range: $94400.00 - $175200.00
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
Standard Job Description
Delivers full-stack data solutions across the entire data processing pipeline. This relies on systems engineering principles to design and implement solutions that span the data lifecycle to: collect, ingest, process, store, persist, access, and deliver data at scale and at speed. It includes knowledge of local, distributed, and cloud-based technologies; data virtualization and smart caching; and all security and authentication mechanisms required to protect the data.Build data pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis; Design and implement data solutions by defining functional capabilities, security, back-up, and recovery specifications; Work through all stages of a data solution lifecycle, e.g., analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics; Maintain data systems performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; Define standards, best practices, and certification processes for data objects
Pipeline Development & Maintenance • Build, test, and maintain robust data pipelines (batch & streaming) that clean, transform, and aggregate raw data into analytic ready data stores.• Implement data quality checks, smart caching, and virtualization techniques to guarantee consistency and reliability.• Build automated data management conduits that support machine learning data flows.
Data Architecture & Modeling • Collaborate with the Data Architect to create conceptual, logical, and physical data models that support business needs.• Define functional capabilities, security, backup, and recovery specifications for each solution.• Design and maintain systems that collect, store, and present data across the enterprise.
Lifecycle Management • Conduct data profiling, requirement analysis, and performance tuning throughout the solution lifecycle.• Deploy, monitor, and optimize ETL/ELT processes (e.g., Informatica, Talend) and related reporting/analytics layers.• Develop and implement data mining and data warehousing programs to enrich the enterprise data ecosystem.
Operations & Performance • Identify and resolve production incidents; tune system parameters for optimal throughput and latency.• Evaluate, integrate, and validate new releases or platform upgrades.• Manage the compilation, catalog ing, caching, distribution, and retrieval of data and maintain test data records.
Standards & Governance • Define and enforce best practice standards, certification processes, and metadata management policies for data objects.• Participate actively in the Data Governance Working Group.• Implement data management standards, requirements, and specifications and ensure compliance with data classification and handling rules through access control and security best practices.
Risk & Design Support • Assist early stage risk identification and mitigation for task order activities.• Support Critical Design Reviews (CDRs) and advise Integrated Product Teams (IPTs) on data related risks and mitigation strategies.
Cross Discipline Liaison • Serve as the technical liaison to Systems Engineering, IPT engineers, and other disciplines to ensure complete, documented requirements allocation for IT and data systems.• Prepare and release engineering drawings and associated data system documentation.
Technology Integration • Advise on and design the integration of new data technology solutions (e.g., IBM Cloud Pak for Data) into the SOFSA enterprise IT environment.• Advise higher level leadership on critical data management issues and emerging technology trends.
Basic Qualifications
Bachelor's degree in Artificial Intelligence, Computer Science, Information Systems, Data Engineering, or a related field (Master's preferred).
Data-mining and data-warehousing principles.
Database management systems, query languages, table relationships, and views.
Proficiency with Hadoop, Java, Python, SQL, Hive, and PIG for data exploration.
DataOps processes and best practices.
Data-security roles and responsibilities; ability to implement access-control and encryption safeguards.
Knowledge of how to collect, store, monitor, and validate test data.
Ability to assess methodological limitations and recommend mitigation strategies.
Desired Skills
IBM Cloud Pak for Data (CP4D) - Advanced
Oracle / Microsoft SQL Server - Advanced (schema design, performance tuning)
Microsoft Power BI Report Server - Proficient
Deltek COBRA - Working knowledge
Microsoft SharePoint - Working knowledge
SAP - Working knowledge
Teamcenter - Working knowledge
Scripting - Python, PowerShell - Basic to intermediate (data extraction, automation)
Data modeling & metadata management tools - Advanced
ETL/ELT design (Informatica, Talend) - Preferred
Cloud & distributed data platforms (AWS, Azure, GCP) - Preferred
Experience with creation of Analytical Databases - Preferred
Additional scripting - PERL, VBS (Windows/UNIX) - Basic
Hadoop, Java, Hive, PIG (for data exploration) - Familiarity
Relevant certifications (e.g., IBM Certified Data Engineer, TOGAF, Certified Data Management Professional, Security+) are a plus.
Pay Information
Full-Time Salary Range: $94400.00 - $175200.00
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
- Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
- For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
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