W2 Contract role_Lead Azure Data Engineer_ Houston, TX (Onsite Role)

Amaze Systems; Houston (TX); On-site; USD 152,000 - 248,000; Full time

Job summary

Amaze Systems Inc in Houston, TX seeks a visionary Lead Azure Data Engineer to drive the design and delivery of Azure-based data lake solutions, governance, and high-volume analytics. This senior role requires strategic leadership and hands-on expertise in cloud data architectures.

You will architect pipelines with Databricks Delta Live Tables, Unity Catalog, and Delta Lake, mentor teams, collaborate with executives, and ensure cost-efficient, scalable data platforms in a fast-paced, onsite

Qualifications

• Bachelor’s or Master’s degree in IT or related discipline.
• 10+ years in IT delivering cost-effective cloud-based data analytics solutions.
• Proven track record building data lake architectures and optimizing big data performance.
• Azure Data Engineering or Databricks certification preferred.

Responsibilities

• Architect scalable Azure-based data lake solutions.
• Lead data transformation pipelines with Databricks Delta Live Tables and Structured Streaming.
• Governance, security, and data quality across platforms.
• Mentor teams in Azure, Databricks, and data streaming technologies.
• Collaborate with cross-functional teams and translate tech challenges for executives.

Skills

SQL

Python/Scala

ETL pipelines

Databricks

Azure data engineering

Data governance

Education

Bachelor’s degree in IT or related

Master’s degree in IT or related

Tools

Azure Data Factory

Azure Data Lake Storage

Databricks

Delta Live Tables

Unity Catalog

Synapse Analytics

Qlik Replicate

PowerBI

Job description

Visa: USCEAD

Role: Lead Azure Data Engineer

Location: Houston, TX (Onsite Role)

Duration: Long term contract

Position Type: W2 Contract Only

Visa: USCEAD

Job Summary:

We are seeking a visionary Principal Data Engineer to lead the delivery of innovative data analytics solutions, with a focus on technical excellence, governance, and operational performance in a high-volume data environment. This role involves strategic and technical leadership in building Azure-based data lake solutions, driving maturity in data management, and engaging with cross-functional teams to leverage data for organizational success.

Key Responsibilities

• Architect, design, and implement scalable Azure-based data lake solutions.
• Establish roadmaps for capability-building across technologies such as Qlik Replicate, Databricks Delta Live Tables, and Unity Catalog.
• Provide technical leadership, ensuring adherence to best practices and quality standards.
• Lead the development of data transformation pipelines using Databricks Delta Live Tables and Structured Streaming.
• Optimize Databricks resources for high-volume data processing without exceeding budget.
• Oversee the use of Databricks Unity Catalog for data governance, lineage, and metadata management.
• Develop and enforce robust data governance policies, ensuring compliance, security, and data quality.
• Monitor data pipeline performance and proactively resolve production issues.
• Collaborate with cross-functional teams to align project objectives with business goals.
• Translate technical challenges into actionable insights for executive teams.
• Mentor and develop a high-performing team skilled in Azure, Databricks, and data streaming technologies.
• Facilitate knowledge transfer sessions to empower internal teams with cutting edge methodologies.

Education & Experience

• Bachelor’s or Master’s degree in IT or a related discipline.
• 10+ years of experience in the IT industry with expertise in delivering cost-effective cloud-based data analytics solutions.
• Proven track record in building data lake architectures and optimizing performance in big data environments.
• Certification in Azure Data Engineering or Databricks (preferred).

Technical Skills

• Strong knowledge of Azure technologies, including ADF, ADLS, Databricks, Stream Analytics, Delta Live Tables, and Synapse Analytics.
• Advanced proficiency in SQL and programming languages such as Python, Scala, or Spark-SQL.
• Experience in designing and developing scalable ETL pipelines and optimizing data workflows.
• Deep understanding of data migration from on-premises to cloud, cloud to cloud.

Leadership And Soft Skills

• Proven ability to lead diverse teams and manage end-to-end analytics projects.
• Exceptional communication and collaboration skills for engaging executives and stakeholders.
• Strong sense of ownership, accountability, adaptability, and commitment to results.
• Expertise in identifying risks and implementing effective mitigation strategies.

Nice To Have

• Familiarity with big data tools like Hadoop, Kafka, and Spark.
• Experience with visualization tools such as PowerBI or QlikSense.
• Knowledge of AI/ML, NLP, and GenAI concepts.
• Familiarity with AGILE and KANBAN methodologies.

Tirath Prajapati

Sr. Talent Acquisition Specialist

Amaze Systems Inc

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