Lead Architect

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Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Role Overview

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.

Key Responsibilities

• 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.
  

Required Skills

• 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.

Preferred Skills

• 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.

Pay

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $150,000 – $200,000. In addition, you may be eligible for a discretionary bonus for the current performance period.

Benefits

As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Hiring Related Queries

India: HiringsupportIndia@fractal.ai

Outside India: HiringsupportROW@fractal.ai

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