AD - Data Architect

Primary Responsibilities

Lead development activities for bringing the organization s data ecosystem to a modern, effective, resilient, and robust architecture

Working cross-functionally with other solution architects within the organization on integrating various products and services

Work alongside product managers and owners to ensure the functional goals of the business, as well as the customer expectations are met through the core technology and capabilities driven by the development team

Provide guidance in core architectural decisions including application development, data integration, and tooling decisions

Present regular demos to stakeholders based on the features for each release

Identify risks both technical and functional as they pertain to the build-out of both the foundational ecosystem as well as the customer-facing features within

Design, develop, enhance, and help maintain services for a modern data platform and application environment

Determine release strategies, methodologies, timelines, and feature roadmaps

Lead migration and onboarding efforts for a multi-disciplinary development team to move to a new framework

Lead thought and design around global next generation architecture within the organization

Provide guidance and leadership in implementing tools and technologies to drive a cost-effective architecture and infrastructure

A combination of strategic understanding, both business and technology experience, exceptional relationship building skills and solution-oriented mindset.

Requirements

Education

Bachelor s degree in a relevant field such as Computer Science, Engineering, Information Systems, etc.

Required Experiences and Skills

5+ years relevant work experience in technology including areas such as cloud deployment & integration, data engineering, and application development

Knowledge in AWS and deep understanding of the core services offered. Previous hands-on experience preferred

Deep understanding of modern data architecture including processes for both batch and streaming (CDC + IoT) data as well as modern cloud-based data technology (e.g. Databricks/ Spark, Snowflake/Redshift)

Understanding of DevOps processes and related tools including, but not limited to, IaC (Terraform, CloudFormation), config management (Chef, Puppet), Git / Bitbucket, Jenkins, etc.

Ability to optimize and package python code

Prior hands-on experience and deep understanding of application development frameworks, monitoring tools, and deployment methodologies

Hands on experience with AWS data analytics services like S3, IAM, ECS, EMR, Fargate, Glue and Sagemaker

Hands-on with python, building packages and managing virtual environments

Understand data science life cycle, various data science algorithms and ML-Ops processes.

Preferred Experiences And Skills

Able to align and work with diverse stakeholders

Broad business background with experience in complex systems and interdependencies

Ability to lead a development team of diverse skillsets to include cloud, data, application, and cyber engineers and X-Ops teams

AWS Solution Architect Certification(Not compulsory)

Benefits