Job details
Job Role
Technology Lead - US
Work Location
Plano, TX
State / Region / Province
Texas
Country
USA
Skills
Technology|Database|Data Modeling
Domain
Delivery
Interest Group
Infosys Limited
Company
ITL USA
Requisition ID
144210BR
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
- 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
- Experience on Spark (Synapse Spark Pools / Apache Spark) Operations:
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 - Experience on Synapse SQL Pools (Dedicated + Serverless):
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
Preferred Qualifications:- 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
The job entails extensive amount of travel. The job also entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face.
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits: -
- Medical/Dental/Vision/Life Insurance
- Long-term/Short-term Disability
- Health and Dependent Care Reimbursement Accounts
- Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
- 401(k) plan and contributions dependent on salary level
- Paid holidays plus Paid Time Off
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.