Lead Architect, Fractal
$150-200k
AI-driven data analytics platform
Be an early applicant
AI-driven data analytics platform
1001+ employees
Be an early applicant
$150-200k
1001+ employees
Company mission
To reshape business through science and advanced data tools and uncomplicate decision-making, so human intelligence can be freed from the drudgery of monotonous work and committed to the pursuit of imagination and creative rewards.
Role
Who you are
- 8+ years of experience as a Data Engineer with deep expertise in Azure Data Services (ADF, Synapse, Databricks) and Snowflake
- Strong background in the Insurance domain with hands-on Azure Data Engineering experience (ADB + PySpark/Python + Snowflake)
- Proficiency in SQL (complex queries, stored procedures, functions, views) and Python/PySpark programming
- Proven experience designing and implementing ETL/ELT pipelines with Azure Data Factory and orchestrating complex, multi-step workflows
- Comprehensive Snowflake expertise: Star/Snowflake schema design, role-based security, performance tuning, query optimization, and pipeline features (Snowpipe, Tasks, Streams)
- Solid understanding of Spark architecture with hands-on experience in performance tuning, data partitioning, and distributed processing
- Experience integrating data from RDBMS, SFTP, APIs, Kafka, Event Hub, and big-data platforms (Hadoop, Hive)
- Familiarity with NoSQL database design (Cosmos DB or equivalent) and streaming data pipeline patterns
- Knowledge of ML/AI data preparation workflows; ability to refactor traditional ML code for distributed execution on Spark/Databricks
- Strong command of Agile methodologies, DevOps practices, and CI/CD deployment frameworks
Desirable
- Exposure to data search and indexing technologies such as Elasticsearch or Azure Cognitive Search
- Azure Data Engineer Associate certification (DP-200/201/203) or SnowPro Core/Advanced Architect certification
- Experience working on data platforms serving analytics and AI use cases in large enterprise environments
What the job involves
- We are looking for a Lead Architect – Azure & AI to join our growing data engineering practice
- In this role, you will architect and deliver large-scale, cloud-native data solutions on Azure and Snowflake, enabling advanced analytics, ML/AI workloads, and enterprise data governance
- You will work closely with cross-functional stakeholders to design resilient, scalable data platforms that drive business impact for Fortune 500 clients
- Design, build, and optimize end-to-end data pipelines leveraging Azure Data Factory, Databricks, and Snowflake for large-scale data ingestion, transformation, and loading
- Develop and maintain ETL/ELT workflows for structured, semi-structured (JSON, XML, Parquet), and unstructured data from on-premises systems, cloud platforms, APIs, flat files, RDBMS, and streaming sources
- Write efficient, production-grade code in Python (PySpark) and SQL for advanced data transformations, workflow orchestration, and automation
- Architect scalable Snowflake solutions including schema design, Virtual Warehouse configuration, query performance tuning, and cost-efficient data storage and retrieval strategies
- Leverage Azure Synapse and Snowflake for advanced analytics and data warehouse solutions, including MPP (Massively Parallel Processing) architectures
- Partner with business and technology stakeholders to design DataMart and Data Lake solutions supporting analytics, reporting, and ML/AI use cases
- Implement data quality frameworks, governance policies, lineage tracking, and metadata management across multiple environments
- Optimize Spark workloads on Databricks for distributed processing at scale; deploy and manage reusable Notebooks and Jobs in production
- Integrate NoSQL stores (Cosmos DB, MongoDB, etc.) and build hybrid solutions spanning Snowflake and Azure services
- Leverage Azure Cognitive Search and Elasticsearch for indexing and unstructured data search integration
- Drive DevOps best practices including CI/CD pipelines, source control (Git), and automated deployments via Azure DevOps and Jenkins
- Ensure adherence to enterprise data security, cataloging, and access-control policies across all data assets
Application process
- End Date: July 31, 2026
Our take
The analysis of business data is essential in making operational changes based on forecasting, managing supply chains, and optimizing revenue, but the mass of available data can be overwhelming. This can sometimes be combated with the power of AI-driven data analysis tools, but existing solutions are usually designed to solve specific problems within specialized industries.
Fractal develops AI-driven tools and platforms for businesses, including a conversational AI platform called Senseforth, a revenue growth AI tool called Samya, AI algorithms for medical imaging named Qure, and an all-in-one data analytics platform called Crux Intelligence. The company develops its solutions to be flexible and applicable within a wide range of industries including consumer packaged goods, healthcare, financial services, and media.
Whilst AI-driven business tools are commonplace, Fractal has taken the smart approach of developing a suite of flexible AI tools that can tackle problems in many industries, as opposed to focusing on a specific problem or industry. This strategy has positioned the company well for continued growth and impact, reflecting its broad applicability and potential in the market.
Steph
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jan 2022
$360m
GROWTH EQUITY VC
Jan 2019
$200m
GROWTH EQUITY VC
Total funding: $685m
Company HQ
World Trade Center, New York, NY
Articles
Leadership
Pranay Agrawal
(Co-Founder, CEO & EVP of Global Client Development)Pranay co-founded Fractal in 2001, serving as EV of Global Client Development since then and CEO since 2016.
Srikanth Velamakanni
(Co-Founder, Group Chief Executive & Executive Vice Chairman)After co-founding Fractal, Srikanth served as the CEO until moving into the role of Group Chief Executive & Executive Vice Chairman. He is also a Vice Chairperson at nasscom, Non Executive Chairman at ideaForge and co-founder & Trustee at Plaksha University.
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