Senior Data Architect ID21050

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

• Designing data management strategies and processes in an organization;
• Designing and building systems and solutions leveraging various AWS cloud components & tools;
• Designing, building, and orchestrating data pipelines from multiple sources into the enterprise data warehouse and support modeling the data for use in the enterprise semantic layer;
• Designing and building new functionalities and solutions to client use cases;
• Designing and building data platforms;
• Acting as Subject Matter Expert for Testers, Developers and Business Users in the area of Data solution functionality;
• Building and maintaining relationships with key stakeholders to understand their Data needs and business goals and transform them into actionable data actions;
• Defining and estimating scope of work needed for implementation of business architecture;
• Leading project and program development team;
• Performing analysis of functional and business requirements, developing user stories, and designing solutions;
• Supporting in the growth of our Data competency;
• Identifying and optimizing performance bottlenecks.

Must haves

• 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).

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