Consultant Domain

Job description

Support enterprise data platforms and pipelines so that trusted, timely and secure data is available to operational and analytical consumers. This role operates as independent technical ownership for complex incidents, problem analysis, changes and service improvement. Key Responsibilities Stable, secure and recoverable business services with minimized user and operational impact Predictable SLA performance, transparent communication and high-quality ticket ownership Reduced recurrence through measurable problem actions, automation and knowledge reuse Safe releases and changes supported by evidence, risk assessment and rollback readiness Strong partnership with business teams, global resolver groups and technology vendors Core responsibilities Own complex incidents and coordinate technical resolution across application, infrastructure, data and vendor teams Perform deep log, query, configuration, performance and integration analysis Develop and peer-review scripts, fixes, operational automation and data corrections under change control Lead root-cause analysis and ensure preventive actions are measurable and closed Plan and execute releases, patches, upgrades, failover tests and operational readiness activities Coach L1 engineers, review escalations and improve runbooks and knowledge Track recurring failure patterns, capacity, availability and support risks Monitor ingestion, transformation, orchestration and batch schedules Diagnose source-to-target failures, schema drift, data-quality defects and performance issues Perform safe reruns, backfills and reconciliations with audit evidence Support access control, secrets, connectivity, integration runtimes and private endpoints Validate row counts, control totals, freshness and lineage Coordinate upstream source and downstream consumer incidents Skill Requirements Primary Skills Microsoft Azure Data Foundations (Azure Data Lake Storage [ADLS], Azure Data Factory), SQL querying, data warehouse architectures, Master Data Governance (SAP ECC/MDG material/vendor creation), Power BI report support, DAX queries, pipeline monitoring (identifying data flow breakages), production data incident resolution Secondary Skills Python (Data scripting/cleansing), Azure Monitor (Telemetry & alerts), Git version control, CI/CD pipelines (Azure DevOps for database deployments), data schema validation (JSON/XML), data mapping documentation, ITIL framework governance, data security compliance protocols Other Requirements 5-8 years of IT/application support experience, including 3+ years of hands-on depth on the relevant platform Strong working knowledge of ETL/ELT, SCD, CDC, medallion architecture, partitioning, orchestration, data quality, lineage. Practical understanding of ITIL-aligned incident, problem, change, request, knowledge and major-incident processes. Ability to read logs, correlate events, form testable hypotheses and document a defensible technical conclusion. Working knowledge of security controls including least privilege, privileged access, secrets, certificates, vulnerability remediation and audit evidence. Clear written and verbal communication with the ability to translate technical findings into business impact and recovery options. Education and preferred certifications Bachelor’s degree in computer science, Information Technology, Engineering or a related discipline, or equivalent demonstrable professional experience. Azure Data Engineer Associate or equivalent Databricks Data Engineer certification Microsoft Fabric Analytics Engineer Associate Behavioural competencies Customer and business-impact orientation Ownership and calm execution under pressure Analytical troubleshooting and evidence-based reasoning Collaboration across cultures, time zones and suppliers Control discipline, attention to detail and documentation quality Continuous learning, automation mindset and constructive challenge Coaching and peer review Ability to balance rapid restoration with permanent remediation Performance measures L2 resolution rate and mean time to restore Repeat-incident reduction and RCA action closure Change success and release-defect rate Automation hours saved / toil reduced Backlog health and problem elimination Mentoring and knowledge quality Working model May support global services across time zones through rotational shifts and on-call coverage. Expected to participate in major-incident bridges, planned releases, disaster-recovery exercises and critical business windows. Must follow approved change, security, data-handling, validation and segregation-of-duties controls. Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 230,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. 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