• Determine internal / external customer data needs and identify system specifications.
• Analyze the needs of large systems and breaking them down into smaller manageable parts.
• Responsible for designing the journey of data from various sources to the database and everything in between.
• Plan and design the structure of data, brainstorm with team.
• Analyze best technology products and systems for internal teams.
• Help provide build vs buy decisions on data architecture.
• Communicate data requirements to engineers; explain data architecture to them and aid throughout SDLC.
• Choose / maintain suitable software, hardware and integration methods.
• Assist security analysts in creating SIEM rules.
• Help resolve technical problems as and when they arise.
• Review testing procedures to ensure data performant and error free.
• Ensure that database satisfy quality standards and procedures. Setup such standards. 
• Work with senior IT personnel to devise plans for future IT requirements of the organization.
• Produce progress reports on key infrastructures – Databricks, Elastic and Data Pipelines

• Bachelor Degree or Post Graduate in Computer Science, or relevant work experience.
• 8 years of experience in an Engineering / Data ingestion and process heavy organization. 
• 2 years of experience as a Data Analysis and Data Design responsible for data architecture of a SaaS application.
• Experience in understanding and designing of data pipelines for ingestion and transformation, data sharding in a distributed database.
• Some Hands-on experience in software development and system administration
• Knowledge of strategic IT solutions.
• Familiarity with programming languages like Java or Python or PySpark.
• Familiarity with Linux OS and Windows alike.
• Experience in cloud computing and cloud Technologies (AWS, GCP, Azure). 
• Excellent communication skills – you should be adept at listening to, understanding, and explaining key concepts to managerial and technical resources.
• Good Anticipation and problem-solving skills.
• Ability to prioritize and manage time – responsible for multiple streams of work at the same time.
• Relationship building - Ability to form a good rapport with internal and external stakeholders.
• In-depth knowledge about quality standards and security best practices.

• Expert level understanding of Databricks, Structured streaming, Delta Live Tables (DLT), Notebooks, PySpark.
• Good knowledge of Elastic eco system - Elasticsearch, Logstash, Kibana, Filebeats.
• Understanding of secure tunnel communication using VPN.
• Experience designing data at scale.
• AWS experience is preferred in Cloud Technologies.

• Equity, in the form of non-qualifying options
• High-quality health benefits
• Retirement Plan with employer match
• Career-growth opportunities
• Flexible Time Off and Paid Time Off benefits
• Volunteer opportunities

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