Overview
Hybrid3 days in 2 weeks to be in client office/ onsite
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required
Skills
Data Lake
Data Architect
data architecture
data engineering
Job Details
Mandatory Skills: Azure Data Lake Analytics.
Description:
The Data Architect will design and implement enterprise-level data architecture across the organization s Data Lake environment. This role ensures that data is structured, secure, and governed effectively to enable trusted analytics and data-driven decision-making. The architect will lead initiatives to standardize processes, define data products, and enforce governance principles while collaborating with business and technology stakeholders.
Responsibilities:
- Define and maintain the data architecture strategy for Data Lake and related platforms.
- Design and implement data models (fact, dimension, KPIs) to support analytics and reporting.
- Establish and enforce data governance standards from an architectural perspective.
- Develop and maintain data security frameworks ensuring compliance with regulatory requirements.
- Lead the creation of data products architecture and ensure alignment with business objectives.
- Set SLAs, data contracts, and assist in determining business value for data products.
- Implement advanced governance tools to capture data lineage and metadata.
- Build and document standard processes, guidelines, and best practices for data architecture.
- Collaborate with cross-functional teams to ensure data quality, integrity, and accessibility.
- Provide technical leadership and mentorship to data engineering and analytics teams.
Education:
- Bachelor s or Master s degree in Information Systems, Computer Science, Data Management, or related field.
- Relevant certifications in Data Architecture or Data Lake technologies (AWS, Azure, Google Cloud Platform).
Experience:
- 10+ years of experience in data architecture, data engineering, or related roles.
- Proven experience in Data Lake architecture and implementation.
- At least 5+ years of hands-on experience setting up Data Products architecture.
- Demonstrated leadership in data governance initiatives.
- Experience in CPG industry preferred.
- Hands-on experience with data modeling (star schema, snowflake, dimensional modeling).
- Experience implementing advanced governance tools for data lineage and metadata management.
Skills:
- Deep understanding of Data Lake technologies and cloud platforms (AWS, Azure, Google Cloud Platform).
- Expertise in data product concepts and lifecycle management.
- Strong knowledge of data security principles and compliance frameworks.
- Proficiency in ETL/ELT processes, data integration, and metadata management.
- Ability to design fact/dimension tables and KPIs for analytics.
- Excellent documentation and process standardization skills.
- Strong communication and stakeholder management abilities.
Cygnus Diversity, Inclusion & Equal Opportunity Commitment
We proudly promote equal opportunities and inclusive workplaces. All employment decisions are based on qualifications and project needs.
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