Senior Data Architect ID21050 - AgileEngine
Miami, FL 33101
About the Job
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.
7+ years experience in software development as Data Engineer; Strong skills and proven experience working with Data Warehouses; Practical experience building and maintaining ETL/ELT data pipelines; Great communication skills as well as stakeholder management and requirements gathering; Strong experience with DBT, Redshift, MWAA (Airflow), Lambda functions; Proficient in Python and SQL; Practical experience in building the data collection, validation and normalization; Advanced English; A strong sense of ownership and willingness to overcome every challenge with the same level of energy, regardless of the complexity or the end goal; Experience working in an environment leveraging remote communication and collaboration tools (e.g. Github, Slack, JIRA).