Infoverity
Job Description
We are seeking an experienced
Analytics Architect
to join our enterprise data consulting practice, helping clients design, implement, and optimize
modern analytics platforms
that deliver measurable business value. This role focuses on building scalable, governed, and AI-ready architectures that support advanced reporting, machine learning, and operational analytics.
You will work closely with client stakeholders-ranging from technical teams to executives-to translate business objectives into
robust Snowflake, Databricks, and cloud-native data architectures . You'll guide solution design across
data engineering, data modeling, governance/MDM, BI/visualization, and AI/ML integration , ensuring adoption of
best practices
for performance, cost optimization, and scalability.
Key Responsibilities
Client Engagement & Strategy • Partner with business and technical leaders to understand goals, pain points, and desired outcomes. • Lead architecture workshops, discovery sessions, and proofs of concept to align technology strategy with business priorities. • Develop enterprise analytics roadmaps that connect ingestion, transformation, modeling, and consumption layers.
Modern Data Platform Design • Architect Snowflake and/or Databricks solutions leveraging medallion architectures, data mesh principles, and EDW/star schema modeling for governed, analytics-ready datasets. • Define CDC, streaming, and batch ingestion patterns using cloud-native and third-party tools. • Establish metadata-driven pipelines for efficient, scalable data integration. • Design and implement governance frameworks and data quality rules.
BI & AI/ML Enablement • Architect semantic and reporting layers for BI tools such as Tableau, Power BI, and Looker. • Design feature stores and AI-ready datasets to accelerate predictive, prescriptive, and generative AI use cases. • Partner with data science teams to operationalize ML models and integrate them into business workflows.
Technical Leadership & Delivery • Guide engineering teams during implementation, ensuring adherence to architectural principles. • Establish CI/CD practices for data assets, testing, and deployment automation. • Support pre-sales with technical solutioning, estimates, and value articulation (ROI/TCO).
Pre-Sales & Business Development • Collaborate with sales and account teams to shape client proposals, ensuring architectural designs align with business outcomes. • Conduct solution demonstrations, technical deep-dives, and proofs of concept to build client confidence. • Contribute to RFP responses with architecture diagrams, technical narratives, and effort estimates. • Articulate the ROI, TCO, and competitive advantage of proposed solutions to C-level and technical stakeholders. • Identify cross-sell and upsell opportunities based on client technology landscapes and strategic goals.
Requirements
Required Qualifications • 5+ years in data/analytics architecture or technical consulting. • Proven expertise designing and implementing Snowflake and/or Databricks solutions. • Strong experience with cloud platforms (Azure, AWS, or GCP). • Deep understanding of data modeling (dimensional, 3NF, data vault) and data lakehouse concepts. • Proficiency in SQL and at least one programming language (Python preferred). • Experience with data governance, data quality, and MDM solutions. • Skilled in ingestion, transformation, and orchestration patterns. • Strong communication skills, able to engage effectively with C-level stakeholders.
Preferred Qualifications • Experience with business intelligence tools like PowerBI, Tableau, or similar visualization platforms. • Knowledge of big data processing technologies (Apache Spark, Delta Lake, etc.). • Experience with AI/ML implementation and integration with data platforms. • Familiarity with workflow orchestration tools for reliable data pipelines. • Experience with infrastructure automation using Terraform, or similar tools. • Cloud certifications (AWS Certified Solutions Architect, Microsoft Azure Solutions Architect Expert, etc.). • Background in multiple industries (e.g., retail, healthcare, financial services). • Experience mentoring junior architects and engineers.
Analytics Architect
to join our enterprise data consulting practice, helping clients design, implement, and optimize
modern analytics platforms
that deliver measurable business value. This role focuses on building scalable, governed, and AI-ready architectures that support advanced reporting, machine learning, and operational analytics.
You will work closely with client stakeholders-ranging from technical teams to executives-to translate business objectives into
robust Snowflake, Databricks, and cloud-native data architectures . You'll guide solution design across
data engineering, data modeling, governance/MDM, BI/visualization, and AI/ML integration , ensuring adoption of
best practices
for performance, cost optimization, and scalability.
Key Responsibilities
Client Engagement & Strategy • Partner with business and technical leaders to understand goals, pain points, and desired outcomes. • Lead architecture workshops, discovery sessions, and proofs of concept to align technology strategy with business priorities. • Develop enterprise analytics roadmaps that connect ingestion, transformation, modeling, and consumption layers.
Modern Data Platform Design • Architect Snowflake and/or Databricks solutions leveraging medallion architectures, data mesh principles, and EDW/star schema modeling for governed, analytics-ready datasets. • Define CDC, streaming, and batch ingestion patterns using cloud-native and third-party tools. • Establish metadata-driven pipelines for efficient, scalable data integration. • Design and implement governance frameworks and data quality rules.
BI & AI/ML Enablement • Architect semantic and reporting layers for BI tools such as Tableau, Power BI, and Looker. • Design feature stores and AI-ready datasets to accelerate predictive, prescriptive, and generative AI use cases. • Partner with data science teams to operationalize ML models and integrate them into business workflows.
Technical Leadership & Delivery • Guide engineering teams during implementation, ensuring adherence to architectural principles. • Establish CI/CD practices for data assets, testing, and deployment automation. • Support pre-sales with technical solutioning, estimates, and value articulation (ROI/TCO).
Pre-Sales & Business Development • Collaborate with sales and account teams to shape client proposals, ensuring architectural designs align with business outcomes. • Conduct solution demonstrations, technical deep-dives, and proofs of concept to build client confidence. • Contribute to RFP responses with architecture diagrams, technical narratives, and effort estimates. • Articulate the ROI, TCO, and competitive advantage of proposed solutions to C-level and technical stakeholders. • Identify cross-sell and upsell opportunities based on client technology landscapes and strategic goals.
Requirements
Required Qualifications • 5+ years in data/analytics architecture or technical consulting. • Proven expertise designing and implementing Snowflake and/or Databricks solutions. • Strong experience with cloud platforms (Azure, AWS, or GCP). • Deep understanding of data modeling (dimensional, 3NF, data vault) and data lakehouse concepts. • Proficiency in SQL and at least one programming language (Python preferred). • Experience with data governance, data quality, and MDM solutions. • Skilled in ingestion, transformation, and orchestration patterns. • Strong communication skills, able to engage effectively with C-level stakeholders.
Preferred Qualifications • Experience with business intelligence tools like PowerBI, Tableau, or similar visualization platforms. • Knowledge of big data processing technologies (Apache Spark, Delta Lake, etc.). • Experience with AI/ML implementation and integration with data platforms. • Familiarity with workflow orchestration tools for reliable data pipelines. • Experience with infrastructure automation using Terraform, or similar tools. • Cloud certifications (AWS Certified Solutions Architect, Microsoft Azure Solutions Architect Expert, etc.). • Background in multiple industries (e.g., retail, healthcare, financial services). • Experience mentoring junior architects and engineers.