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Anblicks · 15 hours ago

Lead Data Engineer

Dallas, TX

Full-time

Onsite

Senior Level, Lead/Staff

12+ years exp

Anblicks is a company seeking a Lead Data Engineer. The role involves leading the design, development, and deployment of scalable data pipelines and defining engineering standards while mentoring junior engineers.

AnalyticsFinancial ServicesHealth CareRetailSoftware

H1B Sponsor Likely

Responsibilities

Extensive hands-on experience with Snowflake and ETL tools (SnapLogic) in large-scale, production-grade environments, including architecture design and optimization

Expert-level proficiency in SQL, including complex query design, performance tuning, cost optimization, and query profiling

Deep expertise in data warehousing and modeling concepts, including dimensional modeling, CDC (Change Data Capture), SCD Types, and data vault–style patterns

Proven experience leading the design, development, and deployment of scalable, cloud-native data pipelines(ETL/ELT) supporting enterprise analytics and reporting

Demonstrated ability to define data engineering standards, best practices, and reusable frameworks across teams

Strong knowledge of data governance, security, privacy, and compliance, including role-based access, data classification, and auditability

Proven experience mentoring junior engineers, conducting code/design reviews, and guiding teams toward scalable and maintainable solutions

Excellent problem-solving and analytical skills, with the ability to make architectural decisions under ambiguity

Strong communication and stakeholder management skills, with the ability to translate business requirements into technical solutions

Ability to own end-to-end data initiatives, work independently, and lead teams effectively in a fast-paced, Agile environment

Qualification

SnowflakeETL toolsSQLData warehousingCloud-native data pipelinesData governanceStakeholder managementMentoringProblem-solvingCommunication

Required

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related quantitative field

12+ years of progressive experience in data engineering, including 3–5+ years in a technical lead or senior engineering role