About RIT Solutions
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Industry
Recruiting and staffing services
Company size
201 - 500 Employees
Headquarters location
Arlington, VA, US
Job description
Data Architect
Location: Chicago Hybrid onsite 3x a week (local only)
Interview Mode: Virtual 2 Rounds [1st technical round, 2nd questions based – previous project details] 1-hour each
Type: Contract
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:
Experience Level:
Qualifications:
Specific Technical Responsibilities:
Snowflake:
Nice to Have:
Location: Chicago Hybrid onsite 3x a week (local only)
Interview Mode: Virtual 2 Rounds [1st technical round, 2nd questions based – previous project details] 1-hour each
Type: Contract
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
ritsolinc.com
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Architect?
A: To succeed as a Data Architect, key technical skills include proficiency in data modeling, database design, and data warehousing, as well as expertise in data management tools such as ETL (Extract, Transform, Load) software and data governance platforms. Additionally, strong analytical and problem-solving skills, along with the ability to communicate complex technical concepts to non-technical stakeholders, are essential soft skills for this role. By combining these technical and soft skills, Data Architects can effectively design and implement data systems that support business growth and drive informed decision-making.
Q: What is the career path for a Data Architect?
A: A Data Architect's typical career progression involves starting as a Junior Data Architect or Data Analyst, where they develop foundational skills in data modeling, database design, and data warehousing. As they gain experience, they move into mid-level roles such as Senior Data Architect or Data Governance Lead, where they oversee data strategy, architecture, and compliance. Ultimately, senior Data Architects can transition into leadership positions like Chief Data Officer or Director of Data Engineering, where they drive organizational data vision and strategy.\n\nKey opportunities for skill development and professional growth in this role include learning cloud-based data platforms, advanced data modeling techniques, and data governance frameworks, as well as staying up-to-date with emerging technologies like artificial intelligence and machine learning. \n\nLong-term career prospects for Data Architects may include transitioning into leadership roles, pursuing specialized roles like Data Scientist or Business Analyst, or exploring adjacent fields like IT Consulting or Business Intelligence.
