Anblicks Inc.
The organization is initiating a data-platform modernization program for its Commercial Real Estate (CRE) analytics ecosystem. The engagement begins with a one-month discovery and assessment phase to evaluate existing systems, identify gaps, and define a future-state data platform on Snowflake .
The Data & Analytics Architect will play a key leadership role by conducting technical discovery, guiding architecture decisions, and producing a clear modernization roadmap that incorporates enterprise data management and observability capabilities .
Key Responsibilities
Lead technical and business discovery sessions to understand current data sources, workflows, and reporting processes Assess the current-state data architecture , including ingestion, transformation, storage, analytics, and data management practices Evaluate existing Data Quality (DQ), Data Governance (DG), Master/Reference Data Management (MDM), and Data Observability (DO) maturity Identify gaps related to scalability, data quality, governance, lineage, monitoring, and manual processes Design the future-state Snowflake-based data architecture , including Bronze/Silver/Gold layers Define how DQ rules, DG policies, MDM integration, and observability frameworks integrate with the Snowflake platform Recommend modernization strategies for legacy systems, spreadsheets, and siloed reporting Translate business requirements into clear architectural recommendations and trade-offs Produce key discovery deliverables such as: Current-state assessment Gap analysis (architecture + data management) Required Qualifications
10+ years of experience in data architecture, data engineering, or analytics architecture Strong hands-on experience with Snowflake (data modeling, performance, security, cost optimization) Proven experience leading discovery or assessment phases for data modernization initiatives Solid understanding of enterprise data management concepts , including: Data Quality (DQ) Data Governance (DG) and stewardship models Master and Reference Data Management (MDM) Data Observability (monitoring, alerting, anomaly detection) Strong knowledge of ETL/ELT patterns, cloud data platforms, and analytical data modeling Ability to operate in ambiguous environments and drive clarity through structured assessment Strong stakeholder communication and documentation skills
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Lead technical and business discovery sessions to understand current data sources, workflows, and reporting processes Assess the current-state data architecture , including ingestion, transformation, storage, analytics, and data management practices Evaluate existing Data Quality (DQ), Data Governance (DG), Master/Reference Data Management (MDM), and Data Observability (DO) maturity Identify gaps related to scalability, data quality, governance, lineage, monitoring, and manual processes Design the future-state Snowflake-based data architecture , including Bronze/Silver/Gold layers Define how DQ rules, DG policies, MDM integration, and observability frameworks integrate with the Snowflake platform Recommend modernization strategies for legacy systems, spreadsheets, and siloed reporting Translate business requirements into clear architectural recommendations and trade-offs Produce key discovery deliverables such as: Current-state assessment Gap analysis (architecture + data management) Required Qualifications
10+ years of experience in data architecture, data engineering, or analytics architecture Strong hands-on experience with Snowflake (data modeling, performance, security, cost optimization) Proven experience leading discovery or assessment phases for data modernization initiatives Solid understanding of enterprise data management concepts , including: Data Quality (DQ) Data Governance (DG) and stewardship models Master and Reference Data Management (MDM) Data Observability (monitoring, alerting, anomaly detection) Strong knowledge of ETL/ELT patterns, cloud data platforms, and analytical data modeling Ability to operate in ambiguous environments and drive clarity through structured assessment Strong stakeholder communication and documentation skills
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