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Data Integration Architect

C

Cloudsufi Inc

Data Integration Architect

San Jose, CA
Full Time
Paid
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  • Responsibilities

    Job Description

    WHAT WE ARE LOOKING FOR?

    THIS ROLE INCLUDES DEFINING STRATEGIC PRIORITIES FOR THE COMPANY IN THE AREA OF DATA SYSTEMS AND ANALYTIC APPLICATIONS, IDENTIFYING NEW BUSINESS OPPORTUNITIES PERTAINING TO DATA, OPTIMIZING REVENUE GENERATION THROUGH DATA, AND GENERALLY REPRESENTING DATA AS A STRATEGIC BUSINESS ASSET AT THE EXECUTIVE TABLE. AS AN ARCHITECT, YOU’LL WORK CLOSELY WITH PRODUCT MANAGERS, DATA ENGINEERS AND SOFTWARE ENGINEERS TO SUPPORT PRODUCT LAUNCHES AND ROADMAPS BY BUILDING THE DATA ARCHITECTURE THAT INFORMS AND DRIVES INSIGHT. THE IDEAL CANDIDATE WILL SOLVE COMPLEX TECHNICAL CHALLENGES, WORK WITH RICH DATA SETS IN THE WORLD, USE CUTTING-EDGE TECHNOLOGY, AND SEE YOUR EFFORTS AFFECT PRODUCTS AND PEOPLE ON A REGULAR BASIS

    REQUIRED EXPERIENCE

    • 8+ YEARS OF EXPERIENCE IN IMPLEMENTING BIGDATA / BIGQUERY SOLUTIONS INVOLVING MULTIPLE DATA SOURCES AND COMPLEX TRANSFORMATIONS FOR LARGE ENTERPRISE CUSTOMERS, PREFERABLY FORTUNE 1000.

    • POSSESS EXPERT ANALYTICAL SKILLS, INCLUDING THE ABILITY TO ABSTRACT INFORMATION REQUIREMENTS FROM REAL-WORLD PROCESSES TO UNDERSTAND INFORMATION FLOWS IN COMPUTER SYSTEMS

    • DEMONSTRATED SKILL IN LOGICAL DATA DESIGN, DATA INTEGRATION AND THE SPECIFICATION OF DATA SERVICES

    • BE FLUENT IN A FEW LANGUAGES, PREFERABLY JAVA AND PYTHON, AND HAVING FAMILIARITY WITH SCALA AND GO WOULD BE A PLUS.

    • PROFICIENT IN SQL. (EXPERIENCE WITH HIVE AND IMPALA WOULD BE GREAT)

    • PROVEN ABILITY TO WORK WITH SOFTWARE ENGINEERING TEAMS AND UNDERSTAND COMPLEX DEVELOPMENT SYSTEMS, ENVIRONMENTS AND PATTERNS.

    • MUST HAVE 4+ YEARS OF EXPERIENCE DEVELOPING AND DEPLOYING DATA PIPELINES FOR CLOUD BASED BIGDATA/BIGQUERY PLATFORMS PREFERABLY GOOGLE CLOUD PLATFORM

    • MUST HAVE EXECUTED PROJECTS USING AGILE SCRUM METHODOLOGY AND AWARE OF ALL PROCESSES INVOLVED IN SCRUM

    • SHOULD HAVE EXPERTISE IN REAL TIME APPLICATION DESIGN USING KAFKA/NIFI/SPARK STREAMING 

    • SHOULD HAVE EXPERIENCE WITH CLOUD DEPLOYMENT OF PIPELINES AND ORCHESTRATION TOOLS (AIRFLOW, COMPOSER).

    • SHOULD HAVE EXPERIENCE WITH DESIGN OF DATA MODELS WHICH SERVE MULTIPLE APPLICATIONS UNDERLYING THE SAME MODEL (COMMON SCHEMAS ACROSS MULTIPLE SCENARIOS).

    • SHOULD HAVE KNOWLEDGE OF ML MODELS FOR CLASSIFICATION, REGRESSION, AND CLUSTERING.

    • SHOULD HAVE EXPERIENCE WITH DEPLOYING DATA PIPELINES ON LARGE USER BASES 

    • SHOULD HAVE DEPLOYED LARGE-SCALE DATA EXTRACTION PIPELINES WHICH FEED INTO ML MODELS.

    • SHOULD HAVE EXTENSIVE KNOWLEDGE OF LARGE-SCALE DATA PROCESSING CONCEPTS AND TECHNOLOGIES.

    • SHOULD POSSESS A DEEP KNOWLEDGE OF DATA STORAGE AND ANALYSIS TECHNOLOGIES SUCH AS HIVE, PRESTO, OR SPARK, AND ARE COMFORTABLE WITH THEIR TRADE-OFFS AND OPTIMIZATIONS.

    NON-TECHNICAL/ BEHAVIORAL COMPETENCIES REQUIRED

    • SHOULD HAVE VERY GOOD VERBAL AND WRITTEN COMMUNICATION, TECHNICAL ARTICULATION, LISTENING AND PRESENTATION SKILLS

    • SHOULD HAVE PROVEN ANALYTICAL AND PROBLEM SOLVING SKILLS

    • SHOULD HAVE DEMONSTRATED EFFECTIVE TASK PRIORITIZATION, TIME MANAGEMENT AND INTERNAL/EXTERNAL STAKEHOLDER MANAGEMENT SKILLS

    • SHOULD BE A QUICK LEARNER, SELF STARTER, GO-GETTER AND TEAM PLAYER

    • SHOULD HAVE EXPERIENCE OF WORKING UNDER STRINGENT DEADLINES IN A MATRIX ORGANIZATION STRUCTURE

    Company Description

    CLOUDSUFI is a Silicon Valley-based specialist Data Engineering Cloud Migration player with top-tier clients, favorable revenue mix, strong financial performance. The organization is built to scale with strong external/ internal tech capabilities and robust management and governance standards. Experienced Management Team Led by a distinguished team with average industry experience of & 20 years. Rich experience across reputed organizations such as Microsoft, Capgemini, IBM, Oracle, SAP, JDA software, among others.Sound governance standards. Unique Positioning in the Data Engineering, Monetization & Cloud Migration space Unique Data Analytics & Cloud Migration player with an experienced team.A global talent pool of approximately 350 professionals with data engineering and migration expertise, the largest of its kind globally. The breadth of experience having led and impacted 450+ implementation projects with 60%+ cost and time savings delivered. Recognized by Analyst for its expertise in the data engineering and data monetization domain along with Accenture, Deloitte, E&Y, Capgemini, and PWC. Large and Attractive Market Global Data solutions market is USD 169 Bn in 2019 and expected to grow to USD 274 Bn in 2022, registering 20%+ CAGR in the next five years. Data engineering and Monetization chain are taking center stage as a key differentiator, digital transformation is creating demand for new solutions. The attractive mix of existing customers between Large Enterprises ( size > 2 B) and Mid Market ( size: 0.5-2 B) offering immense penetration opportunities.