Designs enterprise data ecosystems spanning legacy and cloud platforms. Leads data modeling, ETL/ELT architecture, Azure data solutions, governance, metadata, lineage, validation, curated datasets, and semantic layers. Translates business KPIs into technical components, guides architecture reviews, manages technical debt, and partners with engineering and business stakeholders. Requires strong SQL and Python skills, hybrid infrastructure experience, and advanced data architecture expertise.
Senior Data Solutions Architect (Azure expertise)
Location: Hybrid / Worcester, MA- 1 day per week on-site
This is a 6 month contract to perm opportunity. Candidates must be a U.S.
Citizen and/or Green Card holder to be considered- no Visa sponsorship will be
offered. Candidates MUST live local to Worcester, MA to be considered.
Conversion salary once taken perm:
- 6-8 years of experience- $105,000
plus 10% IC Bonus
- 8+ years of experience- $124,000 pus 15% IC Bonus
The Opportunity: We are looking for a high-level Data Architect to serve as the
primary blueprint designer for our enterprise-grade data ecosystems. This isn't
just about managing a database; it’s about bridging the gap between legacy
foundations and a high-performance cloud future. You will own the technical
roadmap for how information flows, ensuring our data assets are secure,
scalable, and strategically aligned with business growth.
Core Impact Areas:
- Strategic Design: Lead the creation of conceptual
and physical data models that support everything from real-time
transactional systems to complex analytics warehouses.
- Pipeline Leadership: Act as the technical authority
for ETL/ELT frameworks, guiding the development of robust integration
patterns across modern cloud and traditional platforms.
- Governance & Integrity: Build the "rules of the
road" for data quality. You’ll define the standards for metadata,
lineage, and validation to ensure our reporting is beyond reproach.
- Cross-Functional Collaboration: Serve as the translator between
business stakeholders and engineering teams, turning high-level KPIs into
functional technical components.
- Modeling Mastery: Create and optimize curated
datasets and semantic layers that empower our BI teams and support
self-service reporting.
What We’re Looking For:
- Cloud Architecture Expert: Deep, hands-on experience
designing data solutions within a major cloud ecosystem (specific
experience with integrated cloud factory and synapse-level tools is highly
valued).
- Data Modeling Veteran: Proven ability to author complex
source-to-target mappings and manage sophisticated database schemas.
- Technical Polyglot: Proficiency in SQL and Python for data profiling, reconciliation, and automated validation.
- Hybrid Legacy Experience: Comfort navigating the
transition between on-premise "heritage" systems and
cutting-edge cloud-native environments.
- Communication Pro: Ability to lead architecture
reviews, identify risks, and articulate complex technical debt to
non-technical leaders.
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