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Data Architect

Maxonic Inc.

United States

Remote

USD 60,000 - 73,000

Full time

9 days ago

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Job summary

Maxonic Inc. is seeking a Data Architect to lead the design and implementation of data architecture for a client in San Francisco, CA. This senior role requires strong hands-on engineering skills, experience in data governance, and the ability to collaborate with various business sectors. The ideal candidate will bring extensive experience in enterprise-level platforms and modern data technologies. This opportunity combines strategic planning with hands-on implementation in a remote work environment.

Qualifications

  • 8+ years in data architecture or enterprise data engineering.
  • Experience with enterprise-level data platforms in hybrid environments.
  • Familiarity with NoSQL and various data technologies.

Responsibilities

  • Lead the design and implementation of unified data architecture.
  • Define data governance frameworks and engineering practices.
  • Collaborate with stakeholders to align data initiatives with business strategies.

Skills

Data modeling
Data integration
Data governance
Communication

Tools

Azure Synapse
Snowflake
Databricks
Azure Data Factory (ADF)

Job description

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Hiring Amazing Talents for Full time/ permanent roles in San Francisco, CA II

Maxonic maintains a close and long-term relationship with our direct client. In support of their needs, we are looking for a Data Architect.

Job Description:

Job Title: Data Architect

Job Type: FTE

Job Location: remote - CST or EST.

Work Schedule: Remote

Responsibilities:

We are looking for a senior data architect to lead the strategy, design, and implementation of unified data architecture across parent enterprise (our client) and its acquired entities. This role requires a mix of hands-on engineering skills, architectural thinking, and the ability to collaborate across business and technology teams. You'll be working directly with Enterprise Architecture, data engineering, and business stakeholders to drive integration, governance, migration, and data strategy forward.

Key Responsibilities

· Assess current-state data architectures, integration points, and dependencies across the parent enterprise and it acquired companies

· Design and lead the implementation of a target-state enterprise data architecture that supports analytics, reporting, governance, and future scalability

· Define and standardize data domains, data models, and canonical structures across diverse business units

· Lead data integration and migration efforts, including mapping, transformation, validation, and reconciliation of data from legacy systems

· Develop strategies for merging structured, semi-structured, and unstructured data from various platforms and tools

· Collaborate with the Enterprise Architecture team to align data initiatives with business capability models and overall transformation roadmaps

· Define and implement data governance frameworks, stewardship models, and ownership accountability across data domains

· Evaluate, select, and implement data technologies including Azure Synapse, Microsoft Fabric, Snowflake, Databricks, Azure Purview, and others

· Guide Master Data Management (MDM), metadata management, data cataloging, and lineage tracking efforts

· Ensure the data architecture meets standards for scalability, security, performance, and regulatory compliance

· Build documentation, reference models, and operational playbooks to support adoption, onboarding, and long-term maintenance

· Serve as a strategic partner during ongoing post-merger data integration and system consolidation efforts

Required Skills & Experience

· 8+ years in data architecture or enterprise data engineering roles

· Proven experience architecting enterprise-level data platforms in hybrid or multi-company environments

· Strong expertise in data modeling, normalization, and design across OLTP and OLAP systems

· Familiarity with NoSQL systems and designing for hybrid architectures (structured/unstructured)

· Hands-on experience with Azure data stack, including Synapse, ADF, Data Lake, and Purview

· Experience with Snowflake, Databricks, and modern cloud-native data ecosystems

· Working knowledge of data governance, lineage tools, and MDM frameworks

· Strong understanding of data integration patterns, data quality, and metadata

· Comfortable working with business and technical stakeholders to align data with strategy

· Experience collaborating with Enterprise Architecture or familiarity with capability-based planning is a plus

· Excellent written and verbal communication skills

Preferred Qualifications

· Experience in M&A environments, especially post-acquisition integration

· Knowledge of data mesh, lakehouse architectures, and semantic layers

· Familiarity with business capability mapping and aligning architecture to business outcomes

· Certifications in Azure, Snowflake, or enterprise architecture tools are a plus

Exposure to EA frameworks (e.g., TOGAF) or working in EA-led environments

About Maxonic:

Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients.

Interested in Applying?

Please apply with your most current resume. Feel free to contact Shubham (shubham.s@maxonic.com / (510) 955-1056 ) for more details

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology

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