Data Architect

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.
As a Data Architect, you are a data architect that loves solving business problems. You have experience of working in Data Engineering for 7+ years. You work with customer business stakeholders, Data Engineers, DevOps Architects, and Data Scientists to understand the business domain and lead engineers to build data products that empower better decision-making. You are passionate about the data quality of our business metrics and the flexibility of your solution that scales to respond to broader business questions. If you love to solve problems using your skills, then come join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.

What you will do?

• Design data architecture for high volume, velocity, and variety of data sets.
• Define the technology stack for the project for real-time, batch processing, data warehouse, and end-user querying.
• Explore new technologies in data engineering and learn new techniques to solve technical problems.
• Collaborate with many teams - engineering and business, to build better data products and services 
• Write efficient code in modern Data Engineering technologies
• Real-time: Apache Kafka, Amazon Kinesis
• ETL Tools: AWS Glue, PySpark, Presto, Amazon EMR
• End-user query / Analysis Services: Presto, Hive, Apache Kylin
• Data warehouse: Amazon Redshift, SnowFlake, ClickHouse

What we are looking for?

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ Years in Hadoop based distributed computing (PySpark, Presto)
• 2+ Years in at least one ETL tool (Informatica, Talend, Matillion)
• 4 + Years in at least one Programming language (Python, Java, Scala)
• 3 + Years in at least one Data warehouse (Amazon Redshift, SnowFlake) 
• 2 + Years in Real-time processing engines (Storm, Spark Streaming, Flink)
• 3+ Years in Writing SQL queries
• Hands-on experience in data modeling, data visualization, and pipeline design and development
• Experience in working independently and driving projects end to end, strong analytical skills. 

You will be preferred if you have

• Prior experience in working on AWS, GCP, and Azure
• Understanding on DataOps Engineering 
• AWS Certified Big Data – Specialty 
• Cloudera or Hortonworks Certified Big Data Engineer

Life at Mactores
We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.
1. Be one step ahead2. Deliver the best3. Be bold4. Pay attention to the detail5. Enjoy the challenge6. Be curious and take action7. Take leadership8. Own it9. Deliver value10. Be collaborative
We would like you to read more details about the work culture on https://mactores.com/careers 
The Path to Joining the Mactores TeamAt Mactores, our recruitment process is structured around three distinct stages:
Pre-Employment Assessment: You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.
Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.
HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.
At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.

Note: Please answer as many questions as possible with this application to accelerate the hiring process.