Azure Synapse Administration

Infosys•Plano, TX

About The Position

Infosys is seeking an Azure Synapse Administration - In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will provide inputs for identifying best-fit architectural solutions for one or more projects; develop design of applications, provide regular support and guidance to project teams on complex coding and issue resolution with the objective of ensuring best-fit and high-quality technical solutions within the area of technology specialization and in compliance with guidelines, policies and norms of Infosys. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Required Qualifications: Candidate must be located within commuting distance of Plano, TX or be willing to relocate to the area. This position may require travel within the US Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education At least 4 years of experience with Information Technology Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Proven years of hands-on experience in Azure, Databricks, Azure Synapse Administration

Requirements

Candidate must be located within commuting distance of Plano, TX or be willing to relocate to the area. This position may require travel within the US
Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
At least 4 years of experience with Information Technology
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time
Proven years of hands-on experience in Azure, Databricks, Azure Synapse Administration
Experience on Spark (Synapse Spark Pools / Apache Spark) Operations
Experience on Synapse SQL Pools (Dedicated + Serverless)
Experience designing and implementing complex solutions for distributed systems
Experience in leading and mentoring teams

Nice To Haves

Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data
Familiarity with log and monitoring solutions
Experience in utilizing development containers, unit testing/code quality review/linting - standard best practice
Good understanding of Agile software development frameworks
Strong communication and Analytical skills
Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams
Experience and desire to work in a global delivery environment
Experience with Generative AI frameworks: OpenAI, Hugging Face, LangChain
Knowledge of Model Context Protocol (MCP) or similar AI integration standards.
Experience and detailed knowledge with Master Data Management, ETL, Data Quality, metadata management, data profiling, micro-batches, streaming data loads

Responsibilities

Provision, configure, and maintain Azure Synapse workspaces across Dev/Test/Prod.
Manage access, permissions, and workspace security using Azure RBAC, Synapse roles, and Managed Identities
Configure and govern linked services, integration settings, workspace firewalls, and network security controls (Private Endpoints when applicable)
Maintain documentation, runbooks, SOPs, and operational checklists
Administer Synapse Spark pools: sizing, autoscale, auto-pause, libraries, spark configs, and session management.
Troubleshoot Spark job failures: executor/memory issues, shuffle, skew, timeouts, cluster resource bottlenecks.
Optimize Spark workloads using partitioning, caching strategy, broadcast joins, and file formats (Parquet/Delta where applicable).
Manage Spark libraries, dependency conflicts, version control, and environment stability
Administer Dedicated SQL pools (formerly SQL DW): workload management, distribution strategies, partitions, materialized views, indexing (where applicable).
Support Serverless SQL: external tables, views, performance patterns, and query tuning.
Handle backup/restore strategy and DR readiness for Synapse components as per project needs.
Monitor DWU usage, concurrency, query performance, and implement cost controls
Experience designing and implementing complex solutions for distributed systems
Experience in leading and mentoring teams