Company Description:

Apexon is a digital-first technology services firm backed by Goldman Sachs Asset Management and Everstone Capital. We specialize in accelerating business transformation and delivering human-centric digital experiences. For over 17 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.

1. Data Architecture: In-depth knowledge and expertise in designing and implementing enterprise-level data architectures, including conceptual, logical, and physical data models.
2. Data Management: Strong understanding of data management principles, including data governance, data quality, data integration, data security, and data lifecycle management.
3. Database Technologies: Proficiency in working with various database technologies such as relational databases (e.g., Oracle, SQL Server, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and cloud-based data storage solutions (e.g., Amazon Redshift, Google BigQuery, Azure Cosmos DB).
4. Data Integration: Experience in designing and implementing data integration strategies and solutions, including ETL (Extract, Transform, Load) processes, data pipelines, and data streaming.
5. Data Modeling: Expertise in data modeling techniques and tools, such as ER modeling, dimensional modeling, and UML (Unified Modeling Language).
6. Data Governance and Compliance: Knowledge of data governance frameworks and practices, as well as an understanding of data compliance regulations (e.g., GDPR, CCPA) and industry-specific requirements (e.g., HIPAA for healthcare).
7. Data Security: Familiarity with data security principles and techniques, including data encryption, access control, data masking, and data anonymization.8. Business Acumen: Ability to understand and align data architecture with business objectives, requirements, and processes. Strong business analysis skills to identify and translate business needs into data architecture solutions.
9. Communication and Collaboration: Excellent communication and interpersonal skills to effectively communicate complex technical concepts to both technical and non-technical stakeholders. Ability to collaborate with cross-functional teams and work in an agile environment.
10. Industry Knowledge: Awareness of industry trends, emerging technologies, and best practices in data architecture, big data, data analytics, and data management.
11. Leadership and Management: Experience in leading and mentoring a team of data architects and data engineers. Ability to provide technical guidance and strategic direction for data-related initiatives.12. Problem-solving and Analytical Skills: Strong problem-solving and analytical skills to analyze complex data requirements, identify data-related issues, and propose innovative solutions.

Required Skills: Data engineering, data architect and data modelling, dataspace, data warehousing, data plans, data mesh, generative AI, AWS, Redshift, Whipstock (Good to have), Windsor AI tools (Nice to have).


Disclaimer:
If you feel that this is a good match for your skillsets, please submit a current word version of your resume along with a cover letter describing your skills, experience and salary expectations. We are an Equal Opportunity Employer (EOE).

Job Location: Any, United States and anticipated client sites across the US. Must be willing to travel and/or relocate domestically.

Job Duration: Contractor, Mon-Fri, 40 hours per week.

Mail Resume to: Rhonda Wallace, Infostretch Corporation, 3200 Patrick Henry Drive, Suite 250 Santa Clara, CA. 95054. REF: ISC-3