Senior Data Engineer - Data Lake / AI

Job Description

We are seeking a Senior Data Engineer with strong experience across AWS or Azure data, data lakes, and AI/ML platform ingestion to join a newly formed data engineering team at one of the world’s largest and most prestigious law firms as it undergoes a major data and AI transformation.

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This is a senior, hands-on role focused on building an AWS data lake/lakehouse and evolving the enterprise data platform, ingesting data from complex enterprise business systems and creating high-quality datasets for analytics, reporting and AI/ML in a regulated environment. You’ll need to be comfortable with ambiguity, shape solutions, and collaborate closely with internal teams, vendors, and technology partners.

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The role is primarily remote, but you must live within approximately 1.5 hours of Washington DC

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Salary $170-200k plus Generous Benefits + Bonus

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Candidates must already be eligible to work (Green Card or US Citizen), as there are no H-1B transfers or new visa sponsorship.

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Key skills required for the Senior Data Engineer

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• Circa 10+ years of enterprise data engineering experience.
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• Experience working through large-scale data transformation or cloud modernisation programmes.
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• Strong hands-on experience with AWS data platforms and services.
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• Experience building data lakes, data warehouses and lakehouse architectures.
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• Strong experience with technologies like Amazon EMR, Databricks and Apache Spark.
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• Amazon Kinesis experience is desirable, particularly for real-time or streaming data ingestion.
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• Exposure to data pipelines supporting AI/ML, embeddings, vector databases and RAG.
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• Strong ETL/ELT, SQL and Python skills.
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• Experience with orchestration tools such as Airflow.
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• Knowledge of Bronze / Silver / Gold data architectures.
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• Experience with data quality, lineage, governance and metadata.
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• Ability to work effectively with ambiguity and turn loosely defined requirements into scalable technical solutions.
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• Strong experience collaborating with third-party vendors, consultancies and technology partners.
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• Background in large enterprise, consulting, professional services or financial services environments is highly desirable.
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What you’ll do as a Senior Data Engineer

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• Design and build scalable AWS-based data platforms, and potentially other data stacks.
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• Build distributed processing workloads with tools like Amazon EMR, Spark and Databricks.
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• Consolidate data from multiple enterprise applications into centralised data platforms.
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• Build and optimise scalable ETL/ELT pipelines.
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• Create curated, model-ready datasets for analytics, reporting and AI/ML.
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• Implement data quality, lineage, metadata and governance standards.
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• Work with internal stakeholders and external vendors to shape technical solutions and integrations.
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• Navigate changing requirements and bring structure to complex, ambiguous problems.
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• Help shape technical standards and mentor other data engineers.
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Why this role?

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This is a chance to join a globally recognised organisation at a key stage in a major data and AI transformation.

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You’ll work to modernise a complex enterprise data estate and build the data foundations for analytics, machine learning and generative AI.

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The role is particularly suited to someone who combines strong hands-on engineering with the ability to operate in ambiguity, influence vendors and stakeholders, and help drive a large-scale transformation forward.

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Apply now or message us for more details. Referrals always welcome!

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#AWSJobs #DataEngineering #Databricks #DataTransformation #TexasTechJobs

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