Get new jobs for this search by email

We are looking for a dynamic Data Architect to join our team and work on some exciting engagements.

Essential functions 1. Data Architecture & Engineering

Design and implement

medallion architecture

(raw, silver, gold layers) to enable efficient data ingestion, processing, and quality management. Develop standardized

ETL and streaming pipelines

using

Databricks, Apache Spark, and Apache Airflow , ensuring low-latency data processing. Define and enforce

data quality and observability frameworks , integrating dashboards and monitoring tools to maintain high data integrity. Optimize

data pipeline performance and infrastructure costs , identifying bottlenecks and areas for improvement. 2. Technical Leadership & Strategy Lead the

technical

discovering and ongoing development , assessing current systems, identifying pain points, and defining the

target state architecture . Provide

technical recommendations

and a roadmap for implementation, ensuring best practices in data engineering and architecture. Guide the

selection and implementation of cloud-based data platforms

to support scalability, efficiency, and future growth. Ensure compliance with security, governance, and regulatory requirements in data handling and processing. 3. Cross-Team Collaboration & Stakeholder Engagement Act as the

technical point of contact

between engineering teams, business stakeholders, and management. Work closely with team members to ensure smooth collaboration and knowledge transfer. Translate business requirements into

technical solutions , ensuring alignment between data engineering practices and business objectives. 4. Project Delivery & Execution Define

best practices, coding standards, and development workflows

for data engineering teams. Ensure a smooth transition from

discovery to implementation , providing hands-on guidance and technical oversight. Participate in

planning

and work closely with the Delivery Manager to manage timelines and priorities, various program related topics Monitor and troubleshoot data pipeline performance, ensuring

high availability and reliability

of data systems. Qualifications

Cloud provider: AWS Programming language: Python Frameworks and technologies: AWS Glue, Apache Spark, Apache Kafka, Apache Airflow Experience working with on-premise will be a plus Azure Databricks is a MUST Bachelor's degree in Computer Science, Computer Engineering or related field Would be a plus

Data Engineering & Architecture:

Deep experience with data platforms, specifically using Databricks, Apache Spark, and Apache Airflow. Proven capability in designing and implementing medallion architectures (raw, silver, gold).

ETL Frameworks & Ingestion Patterns:

Ability to establish standard ingestion patterns and create a uniform ETL framework for both batch and streaming data.

Data Quality & Observability:

Experience in setting up data quality frameworks, developing dashboards, and implementing observability tools to ensure data integrity.

We offer

Opportunity to work on cutting-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, vision, dental, etc. Corporate social events Professional development opportunities Well-equipped office

About us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.