What are the responsibilities and job description for the Lead Data Architect position at Genisis Technology Solutions?
Lead Data Architect (Top Priority)
Location: San Francisco, CA (Candidates considered for this role will be located in the San Francisco, Bay Area. There will be an in-office requirement of 3x a week)
Experience: 10 years
Visa Status: H4EAD, GC & USC
C2H & FTE
We are seeking a Lead Data Architect to join our Data Platform team. This role will be pivotal in modernizing our existing platform and building out a scalable data, reporting and AI architecture to provide scale, enhance product offerings, and meet new business requirements.
Job Description.
- Modernize, optimize and evolve a cloud-native data stack into a scalable, secure and high performing ecosystem such as SQL & NoSQL repositories for diverse workloads
- Leverage modern data platform principles including lakehouse, data fabric and data mesh architectures to improve scalability, decentralization, governance, and interoperability.
- Design Scalable Architectures: Build flexible architectures to support analytics, real-time reporting, AI/ML Ops pipelines, feature stores, and graph-based data relationships.
- Unified Data Platform: Design high performing and cost effective solutions that handle both structured and unstructured data at high volume and high velocity.
- Establish Modeling Standards: Define enterprise-wide standards for data modeling, semantic layers, and golden datasets to enable consistency and reuse.
- Advance Governance & Quality: Implement frameworks for data lineage, quality, privacy, and security (GDPR, CCPA, PII protections).
- Enable Personalization & Insights: Architect data capabilities that fuel advanced recommendations, relationship mapping, and connected user experiences.
- Evaluate & Integrate Technologies: Guide adoption of best-fit technologies to support evolving use cases in data science, AI, and scalable analytics.
- Partner Cross-Functionally: Collaborate with engineering, product, analytics, and data science teams to translate business vision into technical solutions.
- Mentor & Lead: Provide architectural leadership, coaching engineers on best practices while influencing strategic platform decisions..
Required Skills:
- 10 years of experience in data architecture, platform engineering, or data engineering, with at least 3 in a senior or architect role.
- Proven expertise with modern cloud-native data stacks including Snowflake, Databricks, MDM, Data Catalogs and CDPs.
- Hands-on experience with Looker or other BI/semantic modeling tools.
- Strong understanding of graph-based data models, recommendation systems, and personalization architectures.
- Expertise in data modeling, metadata management, and semantic layers.
- Proficiency with streaming/event-driven data pipelines and real-time processing (Kafka, Pub/Sub, Spark Streaming, etc.).
- Familiarity with AI/ML pipelines, feature stores, and unstructured/structured data integration.
- Strong foundation in data governance, lineage, cataloging, and compliance frameworks.
- Excellent communication and leadership skills to align technical direction across diverse teams
Job Types: Full-time, Contract
Pay: $140,000.00 - $175,000.00 per year
Application Question(s):
- Interested in Fulltime Opportunities (Y/N)
Experience:
- Lead Data Architect : 3 years (Required)
- Data Engineering: 10 years (Required)
- AI Architecture: 3 years (Required)
Location:
- South San Francisco, CA 94080 (Required)
Work Location: In person
Salary : $140,000 - $175,000