Lead Data Architect ID21050 - AgileEngine

This is a remote position and we are hiring candidates from the whole country.

AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.

If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed! :)

What you will do

• Design data management strategies and processes for the organization;
  

• Design and build systems and solutions leveraging various AWS cloud components & tools;
  

• Design, build, and orchestrate data pipelines from multiple sources into the enterprise data warehouse, supporting data modeling for use in the enterprise semantic layer;
  

• Design and build new functionalities and solutions for client use cases;
  

• Design and build data platforms;
  

• Act as the Subject Matter Expert for Testers, Developers, and Business Users in the area of Data solution functionality;
  

• Build and maintain relationships with key stakeholders to understand their Data needs and business goals, transforming them into actionable data actions;
  

• Define and estimate the scope of work needed for the implementation of business architecture;
  

• Lead project and program development team;
  

• Perform analysis of functional and business requirements, develop user stories and design solutions;
  

• Support the growth of the Data competency;
  

• Identify and optimize performance bottlenecks.
  

           

Must haves

• A minimum of 7 years of design & implementation experience with distributed applications and systems;
  

• 3+ years of hands-on experience with architecting solutions on Cloud Platforms;
  

• Ability to design and document data architecture, governance and management processes;
  

• Ability to analyze and document data structures and transformations;
  

• Strong experience with DBT, Redshift, MWAA (Airflow), Lambda functions;
  

• Proficient in Python and SQL;
  

• Strong skills and proven experience working with Data Warehouses;
  

• Willingness to develop in Data & Analytics space;
  

• Strong English language skills for both verbal and written communication;
  

• Excellent communication skills to interact with a range of stakeholders;
  

• Ability to plan, track, and report the status of the deliverables;
  

• At least a Bachelor’s degree, preferably in engineering, computer science or a related field;
  

• Experience in data collection, modeling, validation and normalization;
  

• Experience in working in Agile methodology;
  

• Experience working in an environment leveraging remote communication and collaboration tools (e.g. Github, Slack, JIRA).
  

Nice to haves

• Infrastructure experience as a DevOps Engineer is a high plus;
  

• Experience working with Quicksight.
  

The benefits of joining us

• Professional growth
  

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps

• Competitive compensation
  

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities

• A selection of exciting projects
  

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands

• Flextime
  

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

A minimum 7 years of design & implementation experience with distributed applications and systems; 3+ years of hands-on experience with architecting solutions on Cloud Platforms; Ability to design and document data architecture, governance and management processes; Ability to analyze and document data structures and transformations; Strong experience with DBT, Redshift, MWAA (Airflow), Lambda functions; Proficient in Python and SQL; Strong skills and proven experience working with Data Warehouses; Willingness to develop in Data & Analytics space; Strong English language skills for both verbal and written communication; Excellent communication skills in order to interact with a range of stakeholders; Ability to plan, track and report the status of the deliverables; At least Bachelor’s degree, preferably in engineering, computer science or a related field; Experience in data collection, modeling, validation and normalization; Experience in working in Agile methodology; Experience working in an environment leveraging remote communication and collaboration tools (e.g. Github, Slack, JIRA);