Lead Data Architect
Columbus
BJSS
Leading technology and engineering business consulting firm trusted by clients. We deliver complex, innovative technology and industry solutions. Enquire now.About Us
We’re an award-winning innovative tech consultancy - a team of creative problem solvers. Since 1993 we’ve been finding better, more sustainable ways to solve complex technology problems for some of the world’s leading organizations and delivered solutions that millions of people use every day.
In the last 30 years we won several awards, including our most recent inclusion in the Forbes World's Best Management Consulting Firms report.
Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery.
We have an established presence in the United States for over ten years. With offices in Columbus, Ohio, Houston, Texas we offer a local touch with a global reach.
We want to continue to grow and need people just like you!
About the Role
We’re looking for a talented Data Architect leader who wants to:
- Serve as a key leader in the development of a data and analytics delivery team that embraces modern data technologies and techniques to build analytics and AI/ML capabilities and solutions for clients.
- Lead the design and development of scalable, high-performance data architectures that are tailored to meet clients’ analytics and AI/ML business needs and objectives.
- Partner with business development teams and business stakeholders to define analytics requirements and translate them into actionable data strategies and roadmaps.
- Lead data platform assessments, including determining work breakdown, sprint planning and estimation for data lake and data warehouse implementations using modern cloud-based platforms and technologies (e.g., Snowflake, DataBricksData Bricks, AWS, Azure, GCP).
- Architect end-to-end data pipelines and workflows for ingesting, processing, and analyzing large volumes of structured and unstructured data.
- Stay abreast of emerging trends and advancements in modern analytics, big data, artificial intelligence, and machine learning; and act as a trusted advisor to clients and internal teams, offering strategic insights and recommendations to maximize the value of data assets.
About You
You’ll bring extensive data architecture and analytics experience gained through a combination of industry and consulting roles. You will be comfortable developing and strengthening peer-to-peer level relationships at all levels with our clients.
- Extensive experience in consulting and leadership positions supporting delivery teams and business development efforts for analytics solution implementations, large scale data migrations and/or cloud data platform implementations.
- Strong proficiency in data modeling, data architecture design, and data integration techniques
- Expertise in majority of data management practices - data modeling (dimensional), data architecture, data cataloging, data governance, data quality, master data management, data engineering, ETL/ELT, Event Driven Architectures, Streaming, Batch, and Realtime architectures on the cloud, data privacy and sensitive data handling, data anonymization / de-identification, DataOps.
- Experience and understanding of industry use cases for analytics/AI/ML, including supply chain and logistic analytics, marketing analytics, insurance claims analytics, customer journey analytics, customer single view, financial analytics, sales analytics, etc.
- Experience with the following tools and technologies;
- Modern analytics tools and technologies, such as Apache Spark, Hadoop, Kafka, TensorFlow, PyTorch, etc.
- Cloud-based data services and platforms (e.g., Snowflake, DataBricks, AWS, Azure, GCP, etc).
- ETL tools and technologies for data integration (Informatica, MSFT SSIS, DataStage, etc)
- Data visualization and BI tools (e.g., Tableau, Power BI, Looker) for building interactive dashboards and reports.
- Relevant certifications - DataBricks Lakehouse Badge, Snowlfake – SnoPro Advanced, AWS Certified Solutions Architect, Microsoft Certified: Azure Data Engineer Associate, GCP Architect etc.
Some of the Perks
- 20 days paid vacation per year and 12 BJSS holidays
- 5 paid sick days
- Competitive medical, dental and vision plans employer funded 80%
- 4 x salary Life and AD&D
- Commuter benefits
- 401K plan (BJSS will contribute 3% of salary into your 401K)
- An industry-leading referral scheme, with no limits on the number of referrals
- Our roles are not fully remote as we take pride in the tight knit communities we have created at our local offices. But we offer plenty of flexibility and you can split your time between the office, client site and WFH
- Training opportunities and incentives – we support professional certifications across engineering and non-engineering roles, including unlimited access to O’Reilly
- You will become part of a squad with people from different areas within the business who will help you grow at BJSS
- A collaborative and inspiring environment working alongside some of the best tech people in the industry
- We partner with Lifeworks to offer wellbeing support to our employees
Working Restrictions
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
BJSS will only employ those who are legally authorized to work in the United States for this opening. We are unable to offer visa sponsorship.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Big Data Consulting Databricks Data governance Data management DataOps Data pipelines Data quality Data visualization Data warehouse ELT Engineering ETL GCP Hadoop Informatica Kafka Looker Machine Learning Pipelines Power BI Privacy PyTorch Snowflake Spark SSIS Streaming Tableau TensorFlow Unstructured data
Perks/benefits: 401(k) matching Career development Competitive pay Health care Insurance Unlimited paid time off
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