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Data Architect
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Data Architect
Accenture7-10 Years
- Posted 4 days ago
- Be among the first 10 applicants
Job Description
Project Role : Data Architect
Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
Must have skills : Snowflake Data Warehouse
Good to have skills : Data Architecture Principles, Data Modeling Techniques and Methodologies
Minimum 7.5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Snowflake Data Architect
Role Overview
The Commercial Data Architect owns the end-to-end data architecture that powers commercial reporting across the global GTM organization. This role is the single source of truth for how data flows from source systems into trusted, governed, self-serve analytics — enabling leadership to make high-stakes decisions with confidence. Nothing above this layer works without this foundation.
THE OBJECTIVE
Design, build, and maintain the commercial data model, Snowflake connectivity, and governed reporting layer that the business depends on. Ensure data quality, semantic consistency, and platform reliability at scale.
Key Responsibilities
Define and own the target-state commercial data model spanning Salesforce, Snowflake, and Microsoft Fabric
Build and maintain a semantic model / data cube that delivers consistent, self-serve commercial metrics across regions
Manage governed connectivity to the Snowflake instance and curate trusted business views
Establish and enforce data quality standards, monitoring, and remediation protocols for all commercial data
Consolidate fragmented hand-built extracts into a single governed reporting layer
Partner with Revenue Operations, Finance, and Sales leadership to align on metric definitions and reporting needs
Document data lineage, transformation logic, and governance policies for auditability
Evaluate and recommend tooling improvements across the data platform stack
Skills & Experience Required
7–10 years of experience in dimensional and semantic data modeling
Expert-level proficiency with Snowflake (architecture, performance tuning, access control)
Hands-on experience with Microsoft Fabric and Power BI
Strong SQL skills including pipeline design, CTEs, and performance optimization
Experience with Salesforce as a data source (SFDC data model, APIs, Bulk API)
Proficiency in data governance frameworks and data quality tooling
Architect-level thinking with a builder's mindset — you ship working solutions
Ability to communicate complex data architecture decisions to non-technical stakeholders
NICE TO HAVE
Experience with dbt (data build tool) for transformation layer management
Background in commercial or revenue analytics (ARR, pipeline, quota attainment)
Familiarity with Agentforce or Salesforce Data Cloud
Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
Must have skills : Snowflake Data Warehouse
Good to have skills : Data Architecture Principles, Data Modeling Techniques and Methodologies
Minimum 7.5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Snowflake Data Architect
Role Overview
The Commercial Data Architect owns the end-to-end data architecture that powers commercial reporting across the global GTM organization. This role is the single source of truth for how data flows from source systems into trusted, governed, self-serve analytics — enabling leadership to make high-stakes decisions with confidence. Nothing above this layer works without this foundation.
THE OBJECTIVE
Design, build, and maintain the commercial data model, Snowflake connectivity, and governed reporting layer that the business depends on. Ensure data quality, semantic consistency, and platform reliability at scale.
Key Responsibilities
Define and own the target-state commercial data model spanning Salesforce, Snowflake, and Microsoft Fabric
Build and maintain a semantic model / data cube that delivers consistent, self-serve commercial metrics across regions
Manage governed connectivity to the Snowflake instance and curate trusted business views
Establish and enforce data quality standards, monitoring, and remediation protocols for all commercial data
Consolidate fragmented hand-built extracts into a single governed reporting layer
Partner with Revenue Operations, Finance, and Sales leadership to align on metric definitions and reporting needs
Document data lineage, transformation logic, and governance policies for auditability
Evaluate and recommend tooling improvements across the data platform stack
Skills & Experience Required
7–10 years of experience in dimensional and semantic data modeling
Expert-level proficiency with Snowflake (architecture, performance tuning, access control)
Hands-on experience with Microsoft Fabric and Power BI
Strong SQL skills including pipeline design, CTEs, and performance optimization
Experience with Salesforce as a data source (SFDC data model, APIs, Bulk API)
Proficiency in data governance frameworks and data quality tooling
Architect-level thinking with a builder's mindset — you ship working solutions
Ability to communicate complex data architecture decisions to non-technical stakeholders
NICE TO HAVE
Experience with dbt (data build tool) for transformation layer management
Background in commercial or revenue analytics (ARR, pipeline, quota attainment)
Familiarity with Agentforce or Salesforce Data Cloud
More Info
Key Skills
Data Quality Tooling
Data Governance Frameworks
Snowflake Data Warehouse
Semantic Data Modeling
Microsoft Fabric
About Company
Skills:
Node.js, Data Modeling, Typescript, Azure, Python, inverted indexes, search and retrieval, lexical relevance scoring, retrieval-augmented generation, schema validation, orchestration layers for distributed systems, Generative AI solutions, vector and semantic similarity, CI CD pipelines, LLM-based classification, event-driven and streaming pipelines
Skills:
graph databases , Sparql, Schema Design, Apache Nifi, ELT, Apache Airflow, Tensorflow, Nlp, Pytorch, Rdf, Python, Sql, Etl, Knowledge Graph technologies, LPG, SHACL, vector databases, entity extraction, ontology management, Relational Databases, semantic search, object stores, owl, entity resolution, prompt engineering, Snowflake Data Warehouse, KG curation, dbt
Skills:
snowflake , Data Modeling, Boomi, Json, Informatica, Sql, Data Integration, Azure Data Factory, Apache Kafka, Data Architecture, Xml, Mulesoft, Databricks, Data Warehousing, Data Governance, Rest Apis, Talend, Reltio MDM, ETL ELT platforms
Skills:
Pyspark, Big Data, Data Lake, Python, Sql, Azure Cloud, Delta Lake, Microsoft Fabric
Skills:
BigQuery, Terraform, Spark, Serverless Computing, Memory Management, Dataproc, DataFlow, Data Integration, Python, Sql, Messaging