Dallas
Job Description IT CONSULTANT About the Role The IT Consultant works with enterprise clients to plan and deliver complex digital transformation and modernization initiatives. The role combines deep technical expertise with client-facing work, partnering with C‐suite and technical teams to architect, implement, and optimize enterprise IT systems across cloud, data, and application platforms. Key Responsibilities Strategic Advisory & Client Engagement * Lead end-to-end consulting engagements from assessment through implementation and optimization. * Develop IT strategies and roadmaps (cloud adoption, digital transformation, modernization) aligned to business goals. * Analyze requirements, perform gap and landscape assessments, and present recommendations to executives. * Act as a trusted advisor on emerging technologies, best practices, and competitive tech trends. Technical Implementation & Architecture * Design enterprise-scale architectures across cloud platforms, data systems, and application ecosystems. * Lead cloud migration projects across AWS, Azure, and/or GCP. * Implement AI/ML, automation, and analytics solutions to drive intelligence and efficiency. * Oversee integration of enterprise systems, APIs, and third-party applications; produce architecture docs and implementation guides. Project & Change Management * Manage multiple concurrent projects, including plans, timelines, resources, and risk mitigation. * Run workshops, training, and knowledge-transfer sessions with client teams. * Track progress, manage scope, and ensure delivery against agreed success metrics. * Drive adoption of new technologies through structured change management and stakeholder engagement. Required Qualifications Education & Experience * Bachelor’s in Computer Science, IT, MIS, Engineering, or related technical field (required). * 5+ years in IT consulting, systems integration, or enterprise technology implementation. * Proven experience leading complex technology projects end-to-end. * Experience with Fortune 500 or large enterprise clients. Technical Expertise * Cloud: Hands-on with AWS, Azure, and/or GCP (architecture, migration, cloud-native development). * Architecture: Microservices, containerization (Docker, Kubernetes), serverless, and API design. * Infrastructure as Code: Terraform, Ansible, CloudFormation or similar. * DevOps & CI/CD: Pipelines and agile / DevOps practices. * Data & Analytics: Kafka/Spark, cloud data warehouses (Redshift, Snowflake, BigQuery), Tableau/Power BI. * AI/ML Fundamentals: Practical understanding of AI/ML frameworks and business use cases. * Security: Best practices, SOC 2/GDPR/HIPAA awareness, identity, and zero-trust concepts. * OS & Databases: Linux/Windows server, SQL/NoSQL, performance and optimization basics. Soft Skills & Business Acumen * Strong analytical and problem-solving abilities in complex, fast-changing environments. * Excellent communication; able to translate technical concepts for non-technical stakeholders and executives. * High EQ and relationship-building skills with clients and internal teams. * Strategic mindset linking technology solutions to measurable business outcomes. * Solid project management skills (e.g., experience with JIRA, Asana, ServiceNow, or MS Project). Preferred Qualifications * Experience at top consulting firms (e.g., Accenture, Deloitte, PwC, KPMG, EY) or major tech companies (e.g., Microsoft, Amazon, Google, IBM). * Master’s degree (CS, MBA, or related). * Domain expertise in industries such as healthcare, financial services, retail, manufacturing, or public sector. * Experience with SAP, Oracle, Salesforce, or similar enterprise platforms. * Knowledge of 5G, SD‐WAN, edge, or IoT; familiarity with low-code/no-code (OutSystems, Appian, PowerApps). * Experience with agile frameworks (Scrum, SAFe) and design thinking. * Understanding of data governance, privacy, and ethical AI. Certifications (Strongly Preferred) Cloud * AWS Certified Solutions Architect (Associate/Professional) * Microsoft Azure Solutions Architect Expert * Google Cloud Professional Cloud Architect Specialized * PMP, TOGAF, ITIL * CISSP or CISM * Certified ScrumMaster (CSM) or SAFe certification AI/ML * AWS Certified Machine Learning – Specialty * Google Professional Machine Learning Engineer * Microsoft Azure AI Engineer Associate Core Technical Stack (Summary) * Languages: Python, Java, JavaScript/TypeScript, PowerShell, Bash; strong SQL. * Cloud/Infra: AWS (EC2, S3, Lambda, RDS, ECS), Azure (VMs, Functions, Cosmos DB, DevOps), GCP (Compute Engine, Cloud Functions, BigQuery); Docker, Kubernetes, Helm; Terraform, Ansible, Puppet, Chef. * Data: Kafka, Spark, Airflow; Snowflake, Redshift, Azure Synapse; PostgreSQL, MongoDB, Cassandra, Redis; Tableau, Power BI, Looker. * AI & Automation: TensorFlow, PyTorch, scikit-learn; generative AI/LLM integration; RPA (UiPath, Automation Anywhere); NLP solutions. * Enterprise Tools: Salesforce, Dynamics; SAP, Oracle; Microsoft 365, Google Workspace, Slack; ServiceNow, BMC Remedy.