Principal Architect (Data Architecture)
Full Description
Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling. In this role, you will work closely with technical leads, fellow developers, our client solutions team, and client stakeholders. You will be part of agile/scrum ceremonies and will work as a contributor within these ceremonies. Our data architects are strong consultants, who are just as comfortable talking through solutions with clients as they are at coding. As a Data Architect you must value collaboration and working cross functionally to make the greatest impact for our clients and fellow team members. Responsibilities: Meet and coordinate with internal and external stakeholders to establish project scope, system goals, and requirements Help translate business requirements into technical specifications for data consumption and use Provide guidance on appropriate data platform(s) (repository, database, etc.) to meet requirements Accurately map data attributes between different domain models Develop, analyze, prioritize, and organize requirement specifications, data mapping, diagrams, data models and flowcharts for developers and testers to follow Help deploy and troubleshoot application data pipelines across various architectural environments that will vary by client from legacy to modern including application servers, queues, API gateways, databases, etc. or cloud-based equivalents Qualifications Typically has 5+ years of experience with varied technical experience in designing/developing data pipelines and data stores Demonstrated experience designing data architecture(s) for Business Intelligence/Analytical usage Understanding of data modeling and data mapping Experience with Data Warehouse and Data Mart Experience with TFS, Microsoft SQL Server, Microsoft SSIS, Power BI Extensive experience with SQL Extensive experience with relational and non-relational database technologies (Oracle, MS SQL Server, GraphQL, DynamoDB, MongoDB, PostgresSQL, Redis, ElastiCache, etc). Experience in ETL (AWS Glue, Azure DataFactory, Apache NiFi, etc) Experience with a variety of data systems and performance tuning approaches Knowledge of a variety of architectural principles like hub and spoke, bus, event driven software architectures, etc. Working knowledge of Data Science technology stacks Working knowledge of BI data analytical products Excellent verbal and written communication skills Ability to present technical solutions to both technical and non-technical audiences. Strong ability to review existing codebases/processes and refactor for improvement vs starting over Strong problem solver Professional presence Bachelor’s Degree or equivalent experience Desired Qualifications Consulting experience Working knowledge of Big data on cloud platforms (Azure Data Factory, Azure SQL, AWS, RDS Oracle, or RedShift) Python or Powershell scripting experience Success Profile The ideal candidate is: A strong communicator who can confidently engage clients and lead architectural discussions. Comfortable operating in ambiguous environments and helping shape solutions from early discovery through delivery. Equally effective in strategic advisory conversations and detailed technical architecture work. Passionate about modern data platforms, AI, and emerging technologies. Able to balance technical depth with business outcomes and client value. Additional Employee Requirements Participation in both internal meetings and external meetings via video calls, as necessary. Ability to go into corporate or client offices to work onsite, as necessary. Prolonged periods of remaining stationary at a desk and working on a computer, as necessary. Ability to bend, kneel, crouch, and reach overhead, as necessary. Hand-eye coordination necessary to operate computers and various pieces of office equipment, as necessary. Vision abilities including close vision, toleration of fluorescent lighting, and adjusting focus, as necessary. For positions that require business travel and/or event attendance, ability to lift 25 lbs, as necessary. For positions that require business travel and/or event attendance, a valid driver’s license and acceptable driving record are required, as driving is an essential job function. *If requested, reasonable accommodations will be made to enable employees requiring accommodations to perform the essential functions of their jobs, absent undue hardship. USA Benefits (Full time roles only, does not apply to contractor positions) Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options Flexible Spending Accounts (Medical, Transit, and Dependent Care) Employer Paid Life Insurance and AD&D Coverages Health Savings account paired with our low-cost High Deductible Medical Plan 401(k) Safe Harbor Retirement plan with employer match with immediately vest At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.
Why This Role?
Anda akan bekerja di tim yang memiliki keahlian di berbagai bidang data dan menggunakan teknologi terbaru.
Key Responsibilities
- Koordinasikan dengan stakeholder internal dan eksternal untuk menentukan skop proyek dan tujuan sistem
- Terjemahkan kebutuhan bisnis menjadi spesifikasi teknis untuk konsumsi data
- Beri arahan tentang platform data yang sesuai untuk memenuhi kebutuhan proyek
- Buat dan analisis spesifikasi kebutuhan, peta data, diagram, model data, dan flowchart
- Bantu deploy dan troubleshoot pipeline data aplikasi di berbagai lingkungan arsitektur
Requirements
- Pernah bekerja minimal 5 tahun di bidang desain dan pengembangan data pipelines dan data stores
- Pengalaman dalam desain arsitektur data untuk penggunaan Business Intelligence/Analytical
- Paham tentang data modeling dan data mapping
- Pengalaman dengan Data Warehouse dan Data Mart
- Paham tentang SQL dan teknologi database relasional dan non-relasional
Required Skills
View Original Description from SmartRecruiters
Original description from SmartRecruiters
Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling. In this role, you will work closely with technical leads, fellow developers, our client solutions team, and client stakeholders. You will be part of agile/scrum ceremonies and will work as a contributor within these ceremonies. Our data architects are strong consultants, who are just as comfortable talking through solutions with clients as they are at coding. As a Data Architect you must value collaboration and working cross functionally to make the greatest impact for our clients and fellow team members. Responsibilities: Meet and coordinate with internal and external stakeholders to establish project scope, system goals, and requirements Help translate business requirements into technical specifications for data consumption and use Provide guidance on appropriate data platform(s) (repository, database, etc.) to meet requirements Accurately map data attributes between different domain models Develop, analyze, prioritize, and organize requirement specifications, data mapping, diagrams, data models and flowcharts for developers and testers to follow Help deploy and troubleshoot application data pipelines across various architectural environments that will vary by client from legacy to modern including application servers, queues, API gateways, databases, etc. or cloud-based equivalents Qualifications Typically has 5+ years of experience with varied technical experience in designing/developing data pipelines and data stores Demonstrated experience designing data architecture(s) for Business Intelligence/Analytical usage Understanding of data modeling and data mapping Experience with Data Warehouse and Data Mart Experience with TFS, Microsoft SQL Server, Microsoft SSIS, Power BI Extensive experience with SQL Extensive experience with relational and non-relational database technologies (Oracle, MS SQL Server, GraphQL, DynamoDB, MongoDB, PostgresSQL, Redis, ElastiCache, etc). Experience in ETL (AWS Glue, Azure DataFactory, Apache NiFi, etc) Experience with a variety of data systems and performance tuning approaches Knowledge of a variety of architectural principles like hub and spoke, bus, event driven software architectures, etc. Working knowledge of Data Science technology stacks Working knowledge of BI data analytical products Excellent verbal and written communication skills Ability to present technical solutions to both technical and non-technical audiences. Strong ability to review existing codebases/processes and refactor for improvement vs starting over Strong problem solver Professional presence Bachelor’s Degree or equivalent experience Desired Qualifications Consulting experience Working knowledge of Big data on cloud platforms (Azure Data Factory, Azure SQL, AWS, RDS Oracle, or RedShift) Python or Powershell scripting experience Success Profile The ideal candidate is: A strong communicator who can confidently engage clients and lead architectural discussions. Comfortable operating in ambiguous environments and helping shape solutions from early discovery through delivery. Equally effective in strategic advisory conversations and detailed technical architecture work. Passionate about modern data platforms, AI, and emerging technologies. Able to balance technical depth with business outcomes and client value. Additional Employee Requirements Participation in both internal meetings and external meetings via video calls, as necessary. Ability to go into corporate or client offices to work onsite, as necessary. Prolonged periods of remaining stationary at a desk and working on a computer, as necessary. Ability to bend, kneel, crouch, and reach overhead, as necessary. Hand-eye coordination necessary to operate computers and various pieces of office equipment, as necessary. Vision abilities including close vision, toleration of fluorescent lighting, and adjusting focus, as necessary. For positions that require business travel and/or event attendance, ability to lift 25 lbs, as necessary. For positions that require business travel and/or event attendance, a valid driver’s license and acceptable driving record are required, as driving is an essential job function. *If requested, reasonable accommodations will be made to enable employees requiring accommodations to perform the essential functions of their jobs, absent undue hardship. USA Benefits (Full time roles only, does not apply to contractor positions) Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options Flexible Spending Accounts (Medical, Transit, and Dependent Care) Employer Paid Life Insurance and AD&D Coverages Health Savings account paired with our low-cost High Deductible Medical Plan 401(k) Safe Harbor Retirement plan with employer match with immediately vest At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.
Openness not stated by employer — check the listing
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