$65.75 - $84.50/hr
Contractor
Posted 10 days ago
Job description
Client Environment: Snowflake, Power BI, Collibra, Azure Data Factory (ADF), Azure Data Lake, Sigma Computing, Microsoft Tech Stack
Role Overview:
We are seeking a highly experienced and strategic Principal Data Solutions Architect to lead data technology consulting engagements with senior client stakeholders, including the Head of Global Data Technology and CXO-level executives. This role is focused on solution consulting, data architecture, and strategic advisory. The ideal candidate will assess the current data landscape, propose and evaluate alternative solutions, and drive consensus across stakeholders to ensure successful implementation of modern data platforms and governance frameworks.
Key Responsibilities:
Executive Consulting & Stakeholder Alignment
- Serve as a trusted advisor to CXO-level executives, translating business objectives into actionable data strategies.
- Lead consulting engagements to assess current-state architecture and define future-state data platforms.
- Facilitate stakeholder workshops to build consensus on solution direction, approach, and implementation timelines.
- Collaborate with internal and client teams to ensure alignment of technical solutions with business priorities.
- Architect scalable, secure, and high-performance data solutions using Snowflake, Power BI, ADF, Azure Data Lake, Sigma Computing, and Collibra.
- Define and document data architecture blueprints, integration patterns, and governance models.
- Design and optimize data models using star schema, dimensional modeling, and best practices for analytical workloads.
- Ensure alignment with enterprise architecture standards and cloud-native design principles.
- Conduct risk-benefit analysis of solution alternatives and present findings to executive stakeholders.
- Define data governance, metadata management, and data quality strategies.
- Align architecture decisions with compliance, security, and performance requirements.
- Provide technical leadership during implementation, ensuring alignment with architectural vision.
- Collaborate with engineering and delivery teams to ensure feasibility, scalability, and maintainability.
- Support integration and migration efforts across cloud and on-prem platforms.
Required Skills & Experience:
- 12+ years of experience in data architecture, enterprise data platforms, and technology consulting.
- Proven experience engaging with CXO-level stakeholders and leading strategic consulting engagements.
- Deep expertise in technical skills related to Data and Analytics
- Strong understanding of data modeling, star schema, dimensional modeling, and BI reporting frameworks.
- Excellent communication, stakeholder management, and presentation skills.
- Experience working with cross-functional teams to align technical solutions with business goals.
Preferred Qualifications:
- Technical Certifications in Snowflake, Azure, or Power BI.
- Experience in regulated industries such as financial services or insurance.
- Expertise with enterprise data strategy, digital transformation, and cloud modernization.
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Architect?
A: To succeed as a Data Architect, key technical skills include proficiency in data modeling, database design, and data warehousing, as well as expertise in data management tools such as ETL (Extract, Transform, Load) software and data governance platforms. Additionally, strong analytical and problem-solving skills, along with the ability to communicate complex technical concepts to non-technical stakeholders, are essential soft skills for this role. By combining these technical and soft skills, Data Architects can effectively design and implement data systems that support business growth and drive informed decision-making.
Q: What is the career path for a Data Architect?
A: A Data Architect's typical career progression involves starting as a Junior Data Architect or Data Analyst, where they develop foundational skills in data modeling, database design, and data warehousing. As they gain experience, they move into mid-level roles such as Senior Data Architect or Data Governance Lead, where they oversee data strategy, architecture, and compliance. Ultimately, senior Data Architects can transition into leadership positions like Chief Data Officer or Director of Data Engineering, where they drive organizational data vision and strategy.\n\nKey opportunities for skill development and professional growth in this role include learning cloud-based data platforms, advanced data modeling techniques, and data governance frameworks, as well as staying up-to-date with emerging technologies like artificial intelligence and machine learning. \n\nLong-term career prospects for Data Architects may include transitioning into leadership roles, pursuing specialized roles like Data Scientist or Business Analyst, or exploring adjacent fields like IT Consulting or Business Intelligence.
