Anblicks
Data & Analytics Architect – Snowflake
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
Key Discovery Deliverables
Current-state assessment
Gap analysis (architecture + data management)
Future-state architecture diagrams
High-level modernization roadmap
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
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology
Industry IT Services and IT Consulting
#J-18808-Ljbffr
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
Key Discovery Deliverables
Current-state assessment
Gap analysis (architecture + data management)
Future-state architecture diagrams
High-level modernization roadmap
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
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology
Industry IT Services and IT Consulting
#J-18808-Ljbffr