GCP Solutions Architect

Responsibilities

• Demonstrates passion, excellence, trust, transparency, and client focus.
• PARTNERS WITH CUSTOMERS AND STAKEHOLDERS TO ARCHITECT DATA PLATFORM SOLUTIONS THAT ANSWER KEY BUSINESS QUESTIONS.
• DESIGNS, PROPOSES, BUILDS, AND MAINTAINS DATABASES AND DATA LAKES, DATA PIPELINES THAT TRANSFORM AND MODEL DATA, AND REPORTING AND ANALYTICS SOLUTIONS.
• UNDERSTANDS BUSINESS PROBLEMS AND PROCESSES BASED ON DIRECT CONVERSATIONS WITH CUSTOMERS, CAN SEE THE BIG PICTURE, AND TRANSLATE THAT INTO SPECIFIC SOLUTIONS.
• EFFICIENTLY, EFFECTIVELY, AND CAREFULLY LEVERAGE AND EVALUATE AI TOOLS TO DEVELOP DATA PLATFORMS AND DATA ANALYTICS SOLUTIONS.
• IS A TRUSTED ADVISOR IN PROVIDING VALUE AND SOLUTIONS TO A VARIETY OF CLIENTS IN DIFFERENT INDUSTRIES.
• FUNCTIONS OFTEN AS THE TECHNICAL LEAD ON A PROJECT.
• IDENTIFIES ISSUES EARLY, PROPOSING SOLUTIONS, AND TACTFULLY RAISES CONCERNS AND PROPOSES SOLUTIONS.
• BUILDS DATA PLATFORM ROADMAPS AND IDENTIFIES MILLENNIA.
• CONDUCTS CODE PEER REVIEWS.
• CLEARLY ARTICULATES PROS AND CONS OF VARIOUS TOOLS/APPROACHES.
• DOCUMENTS AND DIAGRAMS PROPOSED SOLUTIONS.
• ORCHESTRATES SOLUTIONS TO REDUCE DATA LATENCY COST, PICKING THE RIGHT SERVICE BASED ON THE WORKLOAD.
• USES DATAPLEX TO UNIFY DATA GOVERNANCE, CATALOGING, DATA QUALITY, AND LIFE CYCLE MANAGEMENT ACROSS DATA LAWS AND DATA WAREHOUSES.
• UNDERSTANDS GOOGLE CLOUD PLATFORM (GCP) SERVICE PRICING, PLUS HOW TO MONITOR AND MANAGE COSTS AS PART OF SOLUTION DEVELOPMENT.
• APPROACHES CONFLICT DIRECTLY, ASSUMES POSITIVE INTENT, AND SEeks HELP FROM LEADERS IF NEEDED.
• ADAPTS POSITIVELY TO CHANGE BY EMBRACING NEW PRACTICES, PROCESSES, OR CIRCUMSTANCES.
• PRESENTS A POSITIVE, PROFESSIONAL, AND SELF-CONFIDENT IMAGE.
• COMMUNICATES ACCURATELY, CONCISELY, AND EFFECTIVELY.
• RESPECTFULLY LISTENS TO OTHERS’ IDEAS AND CONCERNS WITH AN OPEN MIND.
• LEADS COLLABORATIVELY TO SOLVE PROBLEMS AND PUT TEAM SUCCESS FIRST.
• HOLDS SELF AND OTHERS ACCOUNTABLE FOR RESPONSIBILITIES.
• ACCEPTS RESPONSIBILITY FOR OWN DECISIONS AND ACTIONS WITHOUT EXCUSES.
• MAY BALANCE MULTIPLE PROJECTS WHILE STILL FOCUSING ON THE NEEDS OF END USERS, CLIENTS, AND THE PROJECT MANAGER.

Requirements

• 5-7 YEARS OF WORK EXPERIENCE IN DATA ENGINEERING.
• YOUR DATA ENGINEERING EXPERIENCE SHOULD INCLUDE GOOGLE CLOUD PLATFORM (GCP) TECHNOLOGIES AND BE DEEPLY FAMILIAR WITH MODERN DATA PLATFORM TECHNOLOGIES SUCH AS:
1. BigQuery
2. Dataflow (Apache Beam)
3. Dataproc (managed Spark/Hadoop)
4. Cloud Composer (managed Apache Airflow)
5. Cloud Data Fusion
6. Looker / Looker Studio
• ADEPT AT APPLYING AGILE ENGINEERING PRACTICES.
• DEEP FAMILIARITY AND EXPERIENCE IN THE FOLLOWING AREAS:
1. Data warehouse and lake house methodologies including medallion architecture.
2. Data ETL/ELT processes.
3. Data profiling and anomaly detection.
4. Data modeling (Dimensional/Kimball).
5. SQL EXPERTISE.
6. Python-skilled.
7. Strong background in relational database platforms.
8. DevOps/Continuous integration & continuous delivery.
9. EXCELLENT UNDERSTANDING OF DATA MODELING OPTIONS (E.G., OLTP VS OLAP, DIMENSIONAL, DATA VAULT, SLOWLY CHANGING DIMENSIONS).
10. BUSINESS ANALYSIS / DATA ANALYSIS SKILLS.
11. Continual pursuit of further education and certifications.

Preferred

• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or a related field.
• Previous consulting experience.
• Experience migrating data platforms and workloads from Microsoft Azure to Google Cloud Platform (GCP).
• Experience working with Informatica data cataloguing.
• Google Cloud Professional Data Engineer certification (or equivalent GCP certification).