Cloud Data Architect (3932)
Washington, District of Columbia, United States
SMX is looking for a Cloud Data Architect who has hands-on experience with leading the design and implementation of an AWS big data solution which would include data warehousing and/or data lake approaches. This role would recommend and design innovative data solutions using AWS cloud-native services. This person would also guide applications teams to adapt their application to leverage AWS Data Analysis Services. Additionally, this role will be a team player who engineers and supports data solutions and operations. This is a full-time position which is primarily remote but may require quarterly travel to the client’s office located in Washington, DC.
Essential Duties and Responsibilities:
• Develop and implement data architecture roadmap
• Build relationships with client Chief Data Officer & leadership and Lead Data Scientist
• Designs and oversees implementation of big data and architecture solutions
• Is part of the team that implements and supports data solutions
• Help design and develop database objects (tables, views, etc.) and SQL-based ETL processes in support of the implementation.
• Maintain optimal data architecture as business requirements evolve and upstream system changes are implemented
Required Skills:
• Experience with implementing data analytics tools in AWS (Redshift, S3, QuickSight)
• Experience with AWS Storage Services (S3 and RDS)
• Experience in AWS Event/Data Processing Services (Lambda, Glue, SageMaker)
• Expert in SQL knowledge
• Experience with ETL Tools (e.g., Python)
• Experience with Reporting/Analytics tools
• Excellent collaboration skills and communication skills
• Experience with administration of users, roles, security policies, etc. on AWS
• Understanding of core AWS services, uses, and AWS architecture best practices
Required Experience:
• Bachelor’s Degree in Statistics, Science, Computer Science, Management Information Systems, Engineering, Business Analytics disciplines, or related area
• 3+ years of experience with AWS administration, Redshift, and SQL
Desired Skills:
- Big Data Architecture
Application deadline 11-29-2024
#LI-Remote
The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.
The proposed salary for this position is:$149,100—$223,700 USDAt SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.
We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.
SMX is committed to hiring and retaining a diverse workforce. All qualified candidates will receive consideration for employment without regard to disability status, protected veteran status, race, color, age, religion, national origin, citizenship, marital status, sex, sexual orientation, gender identity or expression, pregnancy or genetic information. SMX is an Equal Opportunity/Affirmative Action employer including disability and veterans.
Selected applicant will be subject to a background investigation.
ApplyJob Profile
Primarily remote Quarterly travel to Washington, DC
Benefits/PerksDevelopment opportunities Health insurance Learning & Development opportunities Paid leave Retirement
Tasks- Build client relationships
- Design big data solutions
- Develop data architecture roadmap
- Implement data solutions
- Maintain data architecture
AWS AWS Glue AWS Lambda AWS QuickSight AWS Redshift AWS S3 AWS SageMaker AWS Security Big Data Collaboration Communication Data Data analysis Data & Analytics Data Lake Data Warehousing ETL Lambda Leadership Python Redshift Reporting Security Security policies SQL
Experience3 years
EducationBachelor's Business Analytics Computer Science Degree Engineering Information Systems Management Information Systems Related area Science Statistics
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9