Ensure alignment between business insights, corporate standards, technology deployments, and data availability.
Share knowledge with peers by documenting, communicating, and enabling access to information.
Act as a proactive owner in the role, mapping, identifying, and defining applications and processes.
Demonstrate an owner mindset, pursuing best practices when implementing projects, processes, and data-related technologies, with a focus on results and deliverables.
Apply a forensic mindset (problem and conflict resolution), understanding root causes and the reasons for legacy systems, while proposing and building the future.
Produce capacity estimates for proposed solutions, considering optimal use of computing resources, and involve and guide relevant teams on best practices for resource optimization.
Strong logical reasoning, critical thinking, organizational skills, and agility in problem-solving.
Proactive, focused, and able to work well within a team.
Requirements
Proven experience in cloud environments — Azure, AWS, or GCP.
Expertise in and implementation of Lakehouse architectures.
Knowledge of Data Lake environments.
Knowledge of Event-Driven Architecture (EDA).
Experience with messaging systems (Kafka, Event Hubs, SQS, Service Bus, or Pub/Sub).
Experience with data integration platforms (StreamSets or Azure Data Factory).
Familiarity with data processing technologies (e.g., Spark, Scala, Databricks).
Knowledge of relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB).
Ability to analyze and model databases.
Familiarity with CI/CD pipelines and tools.
Proficiency in Agile methodology.
Knowledge of Microservices patterns.
Benefits
Competitive compensation based on experience
Opportunities for career growth within the company and involvement in strategic projects
Dynamic and challenging work environment
Opportunity to work for a rapidly growing company in the market.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ETL processesLakehouse architectureData Lake environmentsEvent-Driven ArchitectureKafkaEvent HubsSQSService BusPub/Subdata integration platforms
Soft skills
logical reasoningcritical thinkingorganizational skillsagility in problem-solvingproactive mindsetteam collaboration