Fractal Labs

5 days ago

Solution Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Design and drive enterprise-scale data engineering architectures on Azure Databricks, defining end-to-end data solutions, architecture patterns, and engineering standards for analytics, AI/ML, and operational use cases. Own lakehouse and data modeling approaches, including canonical models and semantic layers, and ensure governance, security, and compliance (HIPAA/HITRUST). Partner with data, platform, and AI/ML engineering teams, leading architecture reviews and enabling standardized DataOps/MLOps practices.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Define and implement end-to-end data architecture from ingestion through transformation to consumption, including scalable lakehouse architectures and reusable design patterns.
•Architect canonical data models, dimensional schemas, and semantic layers across enterprise domains such as claims, member, provider, and eligibility.
•Enable solutions using Azure Databricks and Azure data services (ADF, ADLS, Synapse), guiding teams on Spark optimization and Delta Lake data pipeline best practices.
•Establish governance, security, and compliance by defining lineage/quality/metadata frameworks, RBAC and security policies, and data quality SLAs with auditability.
•Collaborate with engineering and business stakeholders, leading architecture reviews and driving standardization across CI/CD, DataOps, and MLOps practices.

Pay and Benefits

Salary: USD 150,000 - 170,000 annually

Perks:Health InsuranceDentalVision401kPaid Leave

Key Requirements

•10+ years of experience designing enterprise data engineering architectures and driving end-to-end solutions on Azure Databricks and cloud platforms.
•Strong experience with Azure Databricks (mandatory), including PySpark and Delta Lake, plus Azure cloud architecture.
•Expertise in data architecture and data modeling (OLTP, OLAP, dimensional schemas) and lakehouse/data warehouse design patterns.
•Hands-on experience with ETL/ELT pipelines and orchestration, CI/CD and DevOps practices (Azure DevOps, Git), and data governance tooling (Unity Catalog, Purview).
•Ability to define and enforce data governance, access control/RBAC, security policies, and compliance standards (HIPAA, HITRUST).

Experience:10+ yearsData engineeringAI/MLHealthcareLakehouseCloud

Education:Bachelor's in Computer Science / Engineering / Related Field

Skills:Business alignmentArchitectural leadershipStakeholder collaborationCommunicationTechnical oversight

Tech Stack:Azure DatabricksPySparkDelta LakeAzure Data ServicesAzure Data Factory (ADF)Azure Data Lake Storage (ADLS)SynapseSparkLakehouseUnity CatalogPurviewETLELTAzure DevOpsGitCI/CDDevOpsDataOpsMLOpsRBAC

Company Brief

Fractal Labs

Provides AI-driven analytics, decision intelligence, and engineering solutions to Fortune 500 companies, helping enterprises apply advanced analytics and machine learning for marketing, supply chain, finance, and customer experience transformation.

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: New York, United States

Founded: 2000

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Fractal Labs

5 days ago

Solution Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Define and implement end-to-end data architecture from ingestion through transformation to consumption, including scalable lakehouse architectures and reusable design patterns.
•Architect canonical data models, dimensional schemas, and semantic layers across enterprise domains such as claims, member, provider, and eligibility.
•Enable solutions using Azure Databricks and Azure data services (ADF, ADLS, Synapse), guiding teams on Spark optimization and Delta Lake data pipeline best practices.
•Establish governance, security, and compliance by defining lineage/quality/metadata frameworks, RBAC and security policies, and data quality SLAs with auditability.
•Collaborate with engineering and business stakeholders, leading architecture reviews and driving standardization across CI/CD, DataOps, and MLOps practices.

Pay and Benefits

Salary: USD 150,000 - 170,000 annually

Perks:Health InsuranceDentalVision401kPaid Leave

Key Requirements

•10+ years of experience designing enterprise data engineering architectures and driving end-to-end solutions on Azure Databricks and cloud platforms.
•Strong experience with Azure Databricks (mandatory), including PySpark and Delta Lake, plus Azure cloud architecture.
•Expertise in data architecture and data modeling (OLTP, OLAP, dimensional schemas) and lakehouse/data warehouse design patterns.
•Hands-on experience with ETL/ELT pipelines and orchestration, CI/CD and DevOps practices (Azure DevOps, Git), and data governance tooling (Unity Catalog, Purview).
•Ability to define and enforce data governance, access control/RBAC, security policies, and compliance standards (HIPAA, HITRUST).

Experience:10+ yearsData engineeringAI/MLHealthcareLakehouseCloud

Education:Bachelor's in Computer Science / Engineering / Related Field

Skills:Business alignmentArchitectural leadershipStakeholder collaborationCommunicationTechnical oversight

Company Brief

Fractal Labs

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: New York, United States

Founded: 2000

Website LinkedIn