Data Analytics Solutions Architect

JOB DESCRIPTION

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.
 
We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!
 
Title: Data Analytics & Solutions Architect
 
Duration: Contract to hire 6 mos
 
Location: Hybrid in Phoenix AZ
 
Rate : $75 - $80/Hr w2
 
Advanced data analytics experience including Snowflake experience
 
Kafka, Flink, Aurora, snowpark
 
Essential Duties and Responsibilities:
 
    Drive enterprise analytics architecture to support enterprise insights and decision-making architecture leveraging established architecture disciplines.
 
    Leverages knowledge of the organization's information, application, and infrastructure environment as well as the current technology landscape to design a holistic and optimized analytics platform.
 
    Define strategies to operationalize analytics-supporting capabilities in discovery, analysis, and reporting across business segments.
 
    Analyze, shape, and prioritize data and analytics technologies to business capabilities aligning to current requirements along with future needs without significant rework.
 
    Perform hands-on solution design, solution architectures, architecture roadmaps, prototyping, proof-of-concepts, and development tasks as required in support of projects and products as requested.
 
    Develops SQL queries to extensively to research, understand and relate distributed data repositories across enterprise.
 
    Develops and documents data models; ensuring that data is defined and searchable; collaborates with various users across the organization to capture output/ process changes and revise data models.
 
    Supports Data Science team in the approach to implement advanced analytical models and supporting data pipelines as well and developing the strategies and approaches for Analytics as a Service.
 
    Ensures accurate documentation of data assets; identifies critical gaps in information domain through a combination of workshops, interviews and internal analysis of various documentation.
 
    Partners effectively with MDM (Master Data Management), Data SMEs and other stakeholders (Sponsors, Product solutions architects etc.) to design solutions, including identifying and filling critical gaps.
 
    Develops and maintains data artifacts and acts as a liaison between ETL, integration, Data Science and BI team(s) to support development of data solutions.
 
    Plan, design, and monitor these security, usability and stability of the analytics platform to help ensure that it complies with enterprise standards and that it performs adequately as additional analytics solutions are implemented.
 
    Act as a liaison between Technical team, Functional team, Business Functions, and System Integrators to drive architecture solutions.
 
    Document and proficiently explain complex architectures to technical and functional peers and-as needed--to other levels of the organization.
 
    Ability to support translation of business needs into solution architecture requirements, application of multiple technical solutions to business problems, and estimation of the financial impact of solution architecture alternatives.
 
    Work with other product team(s) to define data dictionary, data lineage and relationship metrics.
 
    Stays current on the latest technologies, trends and strategies.
 
 
MatchPoint Solutions  provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
 
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.