Data Architect

Title: Data Architect

Location: Chicago Hybrid onsite 3x a week (local with DL)

Interview Mode: Virtual 2 Rounds [1st technical round, 2nd questions based previous project details] 1-hour each

Last 4 SSN and MM/DD required

LinkedIn required

Key Skills:

-Ability to Design and develop (must be hands on).

-Python: ability to create own scripts for dependency injection into Airflow (scheduling, workflows). Expert level

-Airflow: strong familiarization

-Snowflake: primary database

This role will operate as an individual contributor,

Description:

The ideal contractor will be responsible for designing, developing, testing, and deploying software solutions for Hedge Fund Services.

Propose new designs and modify existing ones to continuously improve performance, functionality, and stability of the system.

Partner with business leaders and business unit partners to define priorities and deliver custom solutions to solve business problems or address business needs.

Must be competent to work at the highest technical level of all phases of system design and implementation.

Provides comprehensive consultation to Business Unit and IT management and staff at the highest technical level on all phases of the project development cycle.

Acts as the principal designer for major systems and their subsystems utilizing a thorough understanding of available technology, tools, and existing designs.

Design and develop high-performance programming language components used by trading applications.

Provide technical expertise to support and enhance core-trading applications.

Provides leadership and guidance to staff, fostering an environment that encourages employee participation, teamwork, and communication.

Seasoned multi-disciplinary expert with extensive technical and / or business knowledge and functional expertise. Works at the highest technical level of all phases of system design and implementation.

Focus of role is on execution of strategic direction of business function activities

Carries out complex initiatives involving multiple disciplines and/or ambiguous issues

Displays a balanced, cross-functional perspective, liaising with the business to improve efficiency, effectiveness, and productivity

Experience Level:

Senior

Qualifications:

A BS degree in Computer Science, Mathematics, or related Computer Engineering or Science curriculum is required.

Strong programming skills in Snowflake, Python, AirFlow, DBT, Linux

Strong server-side programming experience with automation and backend support.

Experience with Snowflake.

Experience with agile project methodology and collaboration.

Excellent communication skills, analytical ability, strong judgment and management skills, and the ability to work effectively with client and IT management and staff required.

Strong skills in working with Opensource technologies, Database technologies, micro service architecture, cloud-native development, continuous build, continuous integration and continuous deployment.

Ability to work effectively with end users to define requirements.

Leadership and organizational skills are required to determine the Business Unit's goals, resources needed, and to assess and develop the skills of staff.

Experience designing and building cloud-native applications using microservices architecture.

Hands-On experience with Kafka and overall use for developing an Event driven architecture model

Experience in Domain Driven Design.

Experience with continuous integration and collaboration tools like JIRA, Bitbucket, GitHub, and Confluence.

Experience with building Data pipelines to Snowflake.

Specific Technical Responsibilities:

Overall (applies to all technology platforms listed below):

Provide production support for several data analytics solutions used every day

Ability to perform as a technical lead in addition to being a contributing developer

Code review of other teams' members

Create and enhance data architecture models

Ability to troubleshoot and identify root causes for a variety of production and data issues

Snowflake:

Data transformation (ETL)

Write Snowflake SQL including stored procedures and complex queries involving CTEs and temp tables

Help design data models for new data to be ingested

Snowflake SQL performance tuning

Help complete migration of existing SQL Server based Data Vault into Snowflake

Continue to support and work on future enhancements for Snowflake Data Vault

Data ingestion (familiarity with Python and Kafka connectors is a nice to have but not necessarily required)

Python/Linux

Nice to Have:

A MS Degree is preferred. Experience with multi-threaded application design and development; including testing and deployment phases

Priyanka

Sr. Recruiter

Phone:

Email:

Gtalk:

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