Consultant-Domain

Technology, Data & Digital · Data, AI & Analytics · Data Engineering

In short

Support enterprise data platforms and pipelines to ensure trusted, timely, and secure data availability. This role involves independent technical ownership for complex incidents, problem analysis, and service improvement, requiring 5-8 years of IT/application support experience with at least 3 years on the relevant platform.

Responsibilities

Own complex incidents and coordinate technical resolution across multiple teams (application, infrastructure, data, vendors).
Perform deep analysis of logs, queries, configurations, performance, and integrations.
Develop and 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.

Requirements

5-8 years of IT/application support experience.
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 technical conclusions.
Working knowledge of security controls including least privilege, privileged access, secrets, certificates, vulnerability remediation, and audit evidence.
Clear written and verbal communication skills, with the ability to translate technical findings into business impact and recovery options.
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
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

Desired Qualifications

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

Benefits

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.

Skills

Azure Data Lake StorageAzure Data FactorySQLPower BIDAXPythonAzure MonitorGitAzure DevOpsJSONXMLITIL

#data platforms#data pipelines#data governance#incident resolution#problem analysis#service improvement#ETL#ELT#SCD#CDC#medallion architecture#partitioning#orchestration#data quality#data lineage#ITIL#security controls#Azure#Python#Git#CI/CD

About HCLTech

Supercharging progress through technology and innovation

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, 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. Consolidated revenues as of 12 months ending September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…

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