Azure Senior Engineer

Fractal San Francisco Bay Area
Remote
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AI Summary

Fractal Analytics is seeking an experienced Azure Senior Engineer to translate functional requirements into technical design, interact with clients and internal stakeholders, and architect on Azure platform to meet client specific functional and non-functional requirements.

Key Highlights
6-10 years of software development experience
Experience with Azure core technologies
Strong knowledge of continuous integration, static code analysis, and test-driven development
Key Responsibilities
Translate functional requirements into technical design
Interact with clients and internal stakeholders
Architect on Azure platform to meet client specific functional and non-functional requirements
Evaluate the current technology landscape and recommend a forward-looking, short, and long-term technology strategic vision
Participate in the creation and sharing of best practices, technical content, and new reference architectures
Oversee design and solution architecture to ensure standards are followed, codebase is modular and scalable
Estimate effort using a parametric estimation model and bring all stakeholders on-board about the overall schedule, and dependencies
Design, Develop and Deliver data integration interfaces in ADF and Azure Databricks
Design, Develop and Deliver data provisioning interfaces to fulfill consumption needs
Deliver data models on Azure platform
Advise clients on ML Engineering and deploying ML Ops at Scale on AKS
Automate core activities to minimize the delivery lead times and improve the overall quality
Optimize platform cost by selecting right platform services and architecting the solution in a cost-effective manner
Deploy Azure DevOps and CI CD processes
Deploy logging and monitoring across the different integration points for critical alerts
Technical Skills Required
Azure Data Lake Storage Azure Data Lake Analytics Azure Cosmos Azure Data Factory SnowFlake Azure SQL Database Azure HDInsight Azure Databricks SQL data warehouse (Synapse) Dbt core dbt cloud Data vault 2.0 Automate_dv package In-Memory Distributed Massively Parallel Processing Unity Catalog APIs
Benefits & Perks
$130,000 - $150,000 annual salary
Health, dental, vision, life insurance, and disability plans
401(k) Plan
11 paid holidays
12 weeks of Parental Leave
Free time PTO policy

Job Description


Azure Senior Engg

Fractal Analytics 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 empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.

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

Location: Remote


Note: This Position Is Not Eligible for Immigration Sponsorship at This Time.


Role Overview

Role requires experience in Azure core technologies - Azure Data Lake Storage, Azure Data Lake Analytics, Azure Cosmos, Azure Data Factory, SnowFlake, Azure SQL Database, Azure HDInsight, Azure Databricks, SQL data warehouse (Synapse).


Requirements:

6-10 years of software development experience

Translated complex analytical requirements into technical design including data models, ETLs and Dashboards / Reports

Experience deploying dashboards and self-service analytics solutions on both relational and non-relational databases.

Dbt core or dbt cloud experience.

Data vault 2.0 implementation experience with automate_dv package.

Experience with different computing paradigms in databases such as In-Memory, Distributed, Massively Parallel Processing and Unity Catalog.

Successfully delivered large scale data management initiatives covering Plan, Design, Build and Deploy phases leveraging different delivery methodologies including Agile

Strong knowledge of continuous integration, static code analysis and test-driven development

Experience in delivering projects in a highly collaborative delivery model with teams at onsite and offshore

Must have Excellent analytical and problem-solving skills

Delivered change management initiatives focused on driving data platforms adoption across the enterprise.

Experience working on APIs.

Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations.


Roles & Responsibilities:

Translate functional requirements into technical design

Interact with clients and internal stakeholders to understand the data and platform requirements in detail and determine core Azure services needed to fulfil the technical design

Architect on Azure platform to meet client specific functional and non-functional requirements

Evaluate the current technology landscape and recommend a forward-looking, short, and long-term technology strategic vision.

Participate in the creation and sharing of best practices, technical content, and new reference architectures.

Preparing and answering RFPs, RFIs and RFQs

Oversee design and solution architecture to ensure standards are followed, codebase is modular and scalable

Estimate effort using a parametric estimation model and bring all stakeholders on-board about the overall schedule, and dependencies

Design, Develop and Deliver data integration interfaces in ADF and Azure Databricks

Design, Develop and Deliver data provisioning interfaces to fulfil consumption needs

Deliver data models on Azure platform, it could be on Azure Cosmos, Snowflake, SQL DW / Synapse or SQL

Advise clients on ML Engineering and deploying ML Ops at Scale on AKS

Automate core activities to minimize the delivery lead times and improve the overall quality

Optimize platform cost by selecting right platform services and architecting the solution in a cost-effective manner

Deploy Azure DevOps and CI CD processes

Deploy logging and monitoring across the different integration points for critical alerts


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: $130,000 - $150,000. 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.


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