Azure Senior Data Lead

HCLTech; Fremont (CA); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

10 days paid time off

10 paid holidays

Job summary

HCLTech is seeking an Azure Data Engineer in Fremont, CA, for a full-time position. The role requires extensive experience in data architecture and designing ETL/ELT pipelines. Candidates must have 12+ years in modernizing data platforms and a strong foundation in Python, Spark, and advanced SQL. The position offers competitive compensation with potential bonuses, medical benefits, and paid leave among other perks.

Qualifications

• 12+ years of experience designing and modernizing enterprise data platforms.
• Strong hands-on experience in Advanced SQL with Snowflake, PostgreSQL, and Oracle.
• Proven ability to architect scalable ETL/ELT pipelines supporting high-volume data processing.

Responsibilities

• Architect data platforms and design pipelines using Python and Databricks.
• Lead data architecture initiatives and define physical data models.
• Engineer distributed processing workloads using Apache Spark and Hive.

Skills

Data Architecture

ETL/ELT pipeline design

Python

Apache Spark

SQL

AWS Glue

Azure Data Factory

Delta Lake

Apache Airflow

Tools

Databricks

Snowflake

AWS Kinesis

Apache Kafka

Job description

We are HCLTech, one of the fastest‑growing large tech companies in the world and home to 220,000 people across 60 countries, supercharging progress through industry‑leading capabilities centered around Digital, Engineering and Cloud.

Our people are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be.

Job Title: Azure Data Engineer

Position Type: Full‑time / Contract

Location: Fremont, CA (Onsite)

Responsibilities

• Accomplished Data Architect / Senior Data Engineer with 12+ years of experience designing and modernizing enterprise data platforms across banking, healthcare and retail domains
• Architected scalable ETL/ELT pipelines using Python, PySpark, Databricks, AWS Glue and Azure Data Factory, supporting high‑volume transactional and regulatory data processing.
• Led enterprise‑scale Data Architecture initiatives, defining logical and physical data models, governance standards and cloud‑native platform blueprints across AWS and Azure environments.
• Designed and implemented Medallion (Bronze/Silver/Gold) Lakehouse architectures using Delta Lake, S3, ADLS Gen2, Snowflake, Redshift and Synapse Analytics.
• Engineered large‑scale distributed processing workloads using Apache Spark, PySpark, Databricks, EMR, Hive and HDFS, processing billions of records for enterprise analytics.
• Orchestrated complex data workflows using Apache Airflow, Databricks Workflows, AWS Step Functions and Azure Data Factory triggers, ensuring SLA‑driven pipeline execution.
• Strong hands‑on experience in Advanced SQL, including complex joins, CTEs, window functions, stored procedures, indexing strategies, partitioning and execution plan optimization across Snowflake, PostgreSQL and Oracle.
• Built real‑time streaming architectures using Apache Kafka, AWS Kinesis, Azure Event Hub and Service Bus, supporting fraud detection, claims monitoring and operational telemetry.

Compensation And Benefits

A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance‑based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need‑based leave with no designated number of leave days per year); and 10 paid holidays per year.

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to [e-mail] for investigation.