About Socket
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Industry
Network security
Company size
1 - 10 Employees
Headquarters location
San Francisco, CA, US
$140 - $190/hr
Other
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Job description
Description
Position Summary:The Database Architect owns the data architecture for the platform. You will design the data models, storage strategy, and data-flow patterns for a high-volume filing platform on AWS, ensuring performance, integrity, security, and regulatory auditability.
Key Responsibilities:- Own the target-state data architecture and data models for the platform
- Design storage, partitioning, and access strategies on AWS data services (Aurora, DynamoDB, S3, Redshift)
- Define data governance, lineage, and quality standards
- Architect data pipelines, integration, and dissemination patternsEnsure data security, encryption, and regulatory auditability
- Partner with product and cloud architects on cross-domain data concerns
- Support analytics and AI/ML data enablement
- Review data designs and mentor database developers
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
Inadev Corporation does not discriminate against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibits discrimination against all individuals based on their race, color, religion, sex, sexual orientation/gender identity, or national origin
INTEGRITY AND COMPLIANCE NOTICE:All information provided by applicants must be complete, truthful, and accurate. Any intentional misrepresentation of skills, experience, credentials, or identity may result in removal from consideration for this and future employment opportunities.
For positions supporting U.S. federal government contracts, applicants may be subject to background investigations and employment eligibility verification in accordance with federal regulations. Providing false information during this process may be subject to review and action as required under applicable federal laws and security regulations.
Inadev is proud to be an Equal Opportunity Employer and a federal contractor committed to compliance with all applicable EEO, OFCCP, and federal hiring standards.
Requirements
Non-Technical Requirements:- Must be a U.S. Citizen.
- Must be willing to work a HYRBID Schedule (2 Days) in Reston, VA & client locations in the Washington D.C. area as required.
- Ability to pass a 7-year background check and obtain/maintain a U.S. Government Clearance
- Strong communication and presentation skills.
- Must be able to prioritize and self-start.
- Must be adaptable/flexible as priorities shift.
- Must be enthusiastic and have passion for learning and constant improvement.
- Must be open to collaboration, feedback and client asks.
- Must enjoy working with a vibrant team of outgoing personalities.
- 10+ years of data engineering/architecture experience
- Deep expertise in data modeling and both relational and NoSQL databases
- Experience with AWS data services at scale
- Strong understanding of data governance and security
- AWS data/analytics certification
- Financial-regulatory or high-volume systems experience
- Familiarity with AI/ML data enablement
socket.dev
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Architect?
A: To succeed as a Data Architect, key technical skills include proficiency in data modeling, database design, and data warehousing, as well as expertise in data management tools such as ETL (Extract, Transform, Load) software and data governance platforms. Additionally, strong analytical and problem-solving skills, along with the ability to communicate complex technical concepts to non-technical stakeholders, are essential soft skills for this role. By combining these technical and soft skills, Data Architects can effectively design and implement data systems that support business growth and drive informed decision-making.
Q: What is the career path for a Data Architect?
A: A Data Architect's typical career progression involves starting as a Junior Data Architect or Data Analyst, where they develop foundational skills in data modeling, database design, and data warehousing. As they gain experience, they move into mid-level roles such as Senior Data Architect or Data Governance Lead, where they oversee data strategy, architecture, and compliance. Ultimately, senior Data Architects can transition into leadership positions like Chief Data Officer or Director of Data Engineering, where they drive organizational data vision and strategy.\n\nKey opportunities for skill development and professional growth in this role include learning cloud-based data platforms, advanced data modeling techniques, and data governance frameworks, as well as staying up-to-date with emerging technologies like artificial intelligence and machine learning. \n\nLong-term career prospects for Data Architects may include transitioning into leadership roles, pursuing specialized roles like Data Scientist or Business Analyst, or exploring adjacent fields like IT Consulting or Business Intelligence.